Chapter 1. Introduction
|
|
|
- Jemimah Hunt
- 10 years ago
- Views:
Transcription
1 Chaper 1. Inroducion Jeonse 1 is one of he mos popular housing renal conracs in Korea and is no found elsewhere in he world. The Jeonse sysem is key o achieving an in-deph undersanding of he Korean housing marke. In he pas few years, he Jeonse conrac has rapidly wihdrawn from commercial circulaion. Simulaneously, Jeonse house purchase prices have increased. The Korean Governmen is aemping o sabilize he Jeonse price o improve housing securiy for he Korean people. However, sudies focusing on he Jeonse price are lacking. To dae, he exac origin of he Jeonse sysem remains unknown. However, Jeonse was menioned in a Social Cusoms Repor wrien by a governor-general of he Chosen 2 in 1910: "Jeonse is he mos popular housing renal conrac in Chosen. 3 Thus, he Jeonse sysem was already in operaion approximaely 100 years ago. Jeonse is a housing renal conrac unique o Korea. Essenially, i is a repurchase agreemen(repo) in which he landlord borrows from he enan wih he house as collaeral 4. The enan pays he amoun of 50 percen or 70 o 80 percen o he house owner, and he landlord grans he enan he righ of occupaion. A he erminaion dae, he enan reurns he house, and he landlord repays he exac iniial nominal amoun of money o he enan. In he inerim period, no cash paymens are made by boh paries 5. Thus, he Jeonse sysem is considered no only a housing lease conrac 1 Jeonse is also spelled Chonsei 2 The Japanese Governor-General of Korea served as he chief adminisraor of he Japanese governmen in Korea while i was held as he Japanese colony of Chosen from 1910 o Sources: governor-general of he Chosen Social Cusoms Repor, 1910 Ko Sang Yong, A Sudy on he Proecion of Tenans leasing Dwelling - House, Universiy of Sungkyunkwan Social Science Review Vol.17 No.1 pp5-50, 1979, re-quoe Choi Chang-Gyu & Ji Kyu-Hyun, Modeling Chonsei and Monhly Ren Srucure wih Morgage Lending and Tenan's Asse Consrain, Korea Planners Associaion Urban Planning, Vol. 42 No. 3 pp , 2007, re-quoe 4 Se-Jik Kim(Seoul Naional Universiy) & Hyun Song Shin(Princeon Universiy), Financing Growh wihou Banks: Korean Housing Repo Conrac, p. 3 5 Se-Jik Kim(Seoul Naional Universiy) & Hyun Song Shin(Princeon Universiy), Financing 1
2 from he house owner o he enan bu also a privae loan conrac from he enan o he landlord. Various causes of he developmen of Jeonse may be observable in Korea, bu he sysem mainly consiss of he following wo facors: expecaions for house price increase and lack of insiuional housing finance marke 6. A he early sage of economic developmen in he 1960s o 1970s, he rural disric collapsed and urbanizaion acceleraed, and he demand for houses(housing) in he ciy increased. In he 1980s, rapid economic growh furher increased he urban concenraion of populaion, and he demand exceeding supply led o a full-fledged house price increase. In he 1990s, he 2 Million Houses Consrucion Plan, which was implemened in he 1998 o 1992 period(five years), was carried ou. To some exen, a massive supply of houses eased he gap beween supply and demand for houses, undergoing improvemen in he mid-1990s. Afer a emporary rebound in 1996 and 1997, housing price collapsed sharply in he wake of he Asian financial crisis in The house price increase in he early and mid-2000s seems o be caused by he expecaions of profi from invesmen in real esae compared wih he financial asses, as low ineres raes coninued o prevail. The many changes in he home sales price index from January 1986 o Ocober 2011 accoun for 153.3% naionwide and 180.2% in Seoul area, he norhern par(gangbuk area) of which rose by 103.9%, and is souhern par(gangnam area) dramaically climbed by 266.2%. Growh wihou Banks: Korean Housing Repo Conrac, p. 3 6 Underdevelopmen of house financial marke made ripple effec like US sub-prime morgage crisis be resriced in 2008 financial crisis 7 Kim Kyung-Sik, Srucure Change of Housing Marke, LG Economic Research Insiue, p.6,
3 [Figure 1] Movemen of All Types 8 of House Purchase Price Index (Seoul Gangnam, =100) Sources: Kookmin Bank Home Price Trends Survey Paricularly, such increases can be clearly seen in aparmen-ype 9 housing. A look ino he changes in he aparmen sales price index shows 314.5% naionwide and 369.3% in Seoul area, he norhern par(gangbuk area) of which rose by 237.5%, and is souhern par(gangnam area) dramaically climbed by 448.2%. These figures far exceed 202.4% naionwide and 200.7% in Seoul, he changes in consumer price index during he same period. 8 Types of houses are Aparmens, Deached houses, Row houses(sources: Kookmin Bank, Home Price Trends Survey ). 9 An aparmen is a five-sory or more building(sources: Kookmin Bank, Home Price Trends Survey ). 3
4 [Figure 2] Movemen of Aparmen Purchase Price Index (Seoul Kangnam, =100) Sources: Kookmin Bank Home Price Trends Survey Meanwhile, Park Chung-hee s Governmen 10 coninually exercised sric conrol and supervision on he financial marke o suppor expor and foser paricular indusries, such as he heavy chemical indusry. The survival of he privae money marke under he governmen s various regulaions on ineres rae and financial repression argeing forced money allocaion, or he policy loans for paricular areas, was ineviable 11. The governmen s regulaions on he money marke and concenraion of policies on he corporae financial secor played a pivoal role in he exisence and developmen of Jeonse, a non-insiuional money marke, in he household and home financial marke. The realiy is ha he counry s money marke was very incomplee compared wih ha of advanced counries, and he marke s loan-o-value raio, a baromeer showing he degree of limiaions on liquidiy, sood a abou 20% o 40% in 10 From 1962 o Korean Economy Compilaion Commiee, The Korean Economy: Six Decades of Growh and Developmen, Korea Developmen Insiue(in Korean) Vol. 1 p.28, 2010, 4
5 An increase in demand for speculaive money semming from he expecaion for house price increase and he non-exisence of household and home loans in he insiuional marke ha could accommodae his facor led o a paricular sysem called Jeonse, a privae money marke, in he housing money marke. Tha is, Jeonse is he key variable in linking house purchase, housing renal, and housing finance markes. Therefore, he hree markes should be considered in analyzing he facors affecing Jeonse price. However, previous relaed sudies are limied only o he house purchase marke or housing renal marke in he invesigaion of Jeonse price deerminans. Therefore, he presen paper analyzed he reason Jeonse price heoreically has a differen house purchase price even hough boh provide he same housing services, considering he acual Jeonse sysem characerisics in erms of house purchase, housing renal, and housing finance markes. The curren paper also invesigaed wheher he heoreical model coincides wih he acual Korean siuaion. [Figure 3] Facors Disinguishing Jeonse Price from House Purchase Price Expecaio ns for House Purchase Price : E [ a 1 ] Morgage Loan Inres raes : r regulaion : regulaion 12 Lim Yun-Sung, Liquidiy Resricions on Life Cycle Model and Analysis of Chonsei Price o Sale Price Raio, Korean House Sociey Journal of house, Vol. 8 No. 8 pp.6-7,
6 Esimaion resuls indicae ha, firs, he expecaions for house price increase is significan and opposie o he Jeonse price. Thus, he lower he expecaions for house price increase is, he higher he Jeonse price, which ends o approach he house purchase price. Second, he morgage loan ineres-raes is also significan and posiive in relaion o Jeonse price. Finally, he resuls indicae ha governmen regulaion on he housing finance marke is also a significan and negaive influence. The previously saed finding shows ha he recen surge in Jeonse price, ogeher wih he decrease in Jeonse supply, is a naural phenomenon because expecaions for house price increase has begun o sagnae, and an official housing financial secor has been developed in he pas 15 years. The curren paper has four secions. In secion 2, he heoreical model addressing he difference beween he Jeonse price and house purchase price is presened. The facors affecing he difference beween he Jeonse price and house purchase price are also inroduced. The proposed esimaion mehod and esimaion resuls are presened in secion 3. In secion 4, he conclusion is presened. Chaper 2. Theoreical Model Adequae Jeonse Price in House Purchase Marke The house is an imporan asse in deermining he flow of housing service. Thus, wo markes relaed o he house exis : he asse marke ownership is ransaced (house purchase marke), and he housing renal marke housing services are raded for a cerain period 13. Tha is, he house has wo characerisics of consumer goods ha provide domicile service and invesmen o obain capial gain in he fuure. Therefore, 13 Kim Jung-Ho & Lee Myung-Jae, An Empirical Analysis of Jonsei Deposi Raio in Seoul Housing Marke, Korean Regional Science Associaion Regional Sudies, Vol. 5 No. 1 pp.13-26,
7 house purchase price consiss of he cos of housing services(house as consumer goods) and capial gain(house as invesmen). 14 The demand for Jeonse is purely he demand for housing services, whereas he demand for house purchase is he demand including he capial gain and domicile service. Thus, no capial gain can be obained from owning he house, so he house purchase price becomes he same as he Jeonse price. Equaion (1), represening house purchase price( P ), is equal o Jeonse price( C ) if he housing marke is perfecly effecive and if he depreciaion cos of he house and propery ax is no considered. P C (1) However, as [Figure 4] he Jeonse/Purchase price raio for Aparmen, he mos well-known house ype in Korea indicaed, pracically house purchase price is much higher han Jeonse price. 14 Hwang Doo-Hyun, The Lagged Adjusmen Process of Sales and Renal Prices in Korean Housing markes, Universiy of Hongik Economic Review, Vol. 6 pp23-38,
8 [Figure 4] Jeonse/Purchase Price Raio for Aparmen, Oc Sources: Kookmin Bank Home Price Trends Survey The ime series daa also indicae ha he house purchase price has been persisenly higher han he Jeonse price. [Figure 5] The Trend of Jeonse/Purchase Price Raio for Aparmen, from Oc Sources: Kookmin Bank Home Price Trends Survey 8
9 The main reason for he price gap in he same conrac o obain he righ of residence seems o be he expecaion ha home ownership is more profiable han home lending via Jeonse. Jeonse price, when compared o housing price in Seoul where he opporuniy of capial gain is grea has acually been consisenly lower han he price in he whole counry. If he cos, such as ax or he mainenance fee, is no considered, he arbirage condiion beween he house purchase price and Jeonse price can be presened as follows. P C E [ a 1] (2) P is he house purchase price, C is he Jeonse price, and E ] represens [ a 1 he expecaions for house price increase. Equaion (2) indicaes ha he house purchase price consiss of wo pars: Jeonse price of he pure housing cos and capial gain. Equaion (2) can be rearranged o obain C ( 1 E [ a 1]) P (3) Therefore, he adequae Jeonse price is deermined as Equaion (3) in he house purchase marke. According o Equaion (3), he lower he expecaions for house price increase is, he larger he difference beween he Jeonse price and house purchase price. As an exreme case, if he expecaion for house price increase converges on zero, he Jeonse price would be equal o house purchase price Facors Affecing he Jeonse Price in he Housing Renal and Housing Finance Markes Hisorically, housing renal conracs mainly consis of he Jeonse conrac. However, since he 2000s, much of he Jeonse conrac has been changed o quasi- 9
10 Jeonse (i.e, reducing he Jeonse deposi money and receiving monhly ren in reurn). Naurally, he raio of Jeonse conrac in he housing renal marke sared o decrease. This change in he housing renal marke is closely conneced o he change in he housing finance marke. The 1997 Korean financial crisis grealy affeced many differen fields. For example, financial companies indiscreely len money o companies before 1997 because hey believed he governmen would ac like a final loaner. However, hey ook a big hi in he financial crisis, so hey changed heir markeing sraegy o consumer finance focusing on housing morgage loan. Their change in sraegy resuled in he rapid increase of consumer finance loans. [Figure 6] Raio of Household Loans in Commercial Banks Sources: Bank of Korea, Bank of Korea Research-Bo Some researchers (e.g., Lee 2002) argued ha Jeonse as privae financing would disappear and all of he housing lending conracs would change o pure monhly ren conracs because of he recen vializaion of consumer finance and he decrease of he raio of Jeonse conrac in he housing renal marke. This poin of view regards Quasi- Jeonse as a ransiional lending conrac ha occurs in he process in which Jeonse 10
11 changes o pure monhly ren 15. Wihou a doub, he role of Jeonse, which has aced like informal housing finance, decreases because of he developmen of he formal housing finance marke, excep for he following issues: wheher he developmen of Quasi-Jeonse is a ransiional phenomenon ha occurs in he process in which Jeonse changes o pure monhly ren, or wheher he coexisence of Jeonse, Quasi-Jeonse, and pure monhly ren is he equilibrium of he housing renal marke. As a resul, he decrease in he raio of he Jeonse conrac in he housing renal marke will necessarily affec Jeonse price. Thus, if we consider he effec of he decrease in Jeonse supply on Jeonse price, because of changes in he housing renal marke and he housing finance marke, we can obain he equaion below. Commen [Ed 101]: As much as possible, avoid creaing oo lenghy senences. I is beer o break down he ideas ino shorer, more manageable senences which can give proper emphasis o he houghs/ideas you wan o convey. Check if he revision has clarified he meaning. C ( 1 E [ a 1]) P f ( facors o decrease Jeonse suply) (4) Equaion (4) explains ha a decrease in Jeonse supply due o changed circumsances of he housing renal marke and housing finance marke acs as an inflaionary pressure on renal charge, leading o he adjusmen of adequae Jeonse prices parly deermined by he arbirage condiion. Then, wha are he specific variables in he house renal and house financial markes influencing he supply of Jeonse? Before addressing his issue, we need o focus on he subsanial purpose of he use of Jeonse securiy deposi firs. Jeonse securiy deposi was used no so much as o creae revenue accruing from money deposied in he bank bu generally o use i a means of financial leverage for housing purchase. Choi and Ji (2008) assered ha, as Jeonse securiy deposi could be used as a financial means of house purchase, morgage loans in he insiuional financial marke should also be regarded he same. Tha is, Jeonse as non-insiuional finance and morgage as insiuional morgage loan should be considered subsiues for each oher. 15 Lee Chang-Moo & Lee Sang-Young & Ahn Kun-Hyuck, An Empirical Analysis on Monhly Ren wih Variable Deposi, Korea Planners Associaion Urban Planning, Vol. 38 No. 1 p110,
12 If so, accessibiliy o he insiuional loan marke, and an increase and decrease in he burden of expenses incurred by using he insiuional financial marke will affec hose in overall supply as non-insiuional finance, which is a subsiue for insiuional loan. Cos for using he insiuional money marke can be represened as morgage loan ineres-raes and accessibiliy o he insiuional money marke as a regulaory policy on morgage loan. The discussion will be exended. Considering he variables can cause a decrease in Jeonse supply in he aforemenioned adequae Jeonse price under he arbirage condiion. Therefore, equaion (4) can be expressed as follows: (5) C ( 1 E [ a 1]) P f ( r, regulaion ) (5) A his ime, r insiuional finance, and insiuional financial marke. indicaes he morgage loan ineres-raes on borrowing from regulaion denoes he governmen s regulaions on he This sudy began from he discussion ha Jeonse price, ha is, compensaion for Jeonse conrac ha causes he same housing service, should be he same as house sale price. Moreover, i sough o deermine he causes of exisence of he persisen gap beween Jeonse and sale price in he variables of he house purchase marke, housing renal, and housing finance marke. Equaion (5) shows ha, affeced by he following variables, Jeonse prices may deviae from sale prices and creae a gap: Jeonse price( C ) does no mach House purchase price( P ) because of 1. Expecaion for house price increase ( E ]) [ a 1 2. Morgage loan ineres-raes in he insiuional housing finance marke ( r ) 3. Governmen regulaions on he insiuional housing finance marke ( regulaion ) Expecaion for house price increase( E ]) increases he capial gain on house [ a 1 in he house purchase marke, making Jeonse price deviae from sale price. Tha is, he 12
13 more he capial gain is expeced of house as invesmen goods, he farher he Jeonse price ges from he sale price, decreasing relaively. As morgage loan ineres-raes( r ) decreases, incenives o raising he capial wih Jeonse as privae banking, which is a subsiue, Jeonse supply will decrease in he housing renal marke. Such decrease in Jeonse supply will lead o an increase in Jeonse price. Finally, he governmen can make i difficul or easy o be accessible o commercial banks by inervening in he formal housing finance marke. If he governmen s regulaions( regulaion ) make i difficul o be accessible o commercial banks, he lesser has no choice bu o use Jeonse, which is non-insiuional finance. This phenomenon leads o an increase in Jeonse supply in he housing renal marke. Commen [E12]: Check if his should be laer. Therefore, he governmen s ighened regulaions will increase Jeonse supply and lower Jeonse price. Nex, in Secion 3, o deermine wheher he heoreical model coincides wih he real Korean siuaion, an esimaion analysis will be performed and invesigaed. Chaper 3. Empirical Analysis Esimaion Daa Jeonse price is affeced by he variables from house purchase, housing renal, and housing finance markes, as I argued in he previous heoreical analysis secion. Variables affecing he difference beween Jeonse price and house purchase price are 1) expecaion for house price increase( E ] ), 2) morgage loan ineres-raes in he [ a 1 formal financial marke( r ), and 3) governmen regulaion on insiuional house finance marke( regulaion ). 13
14 Daa on Jeonse price and house purchase price are based on he indexes of Jeonse price and house purchase price in he Home Price Trends Survey offered by Kookmin Bank. This index uses sales price when he sample house is ransaced and he price derived by he mehod of comparing sales(renal) example 16 when no ransaced. The Laspeyres mehod was applied o repored price o make he index(base period is June 2011). Weighs are he componen raio by region, ype of house, and house invenory(deails on he esimaion equaion are found in he Appendix). Indexes of Jeonse price and house purchase price are no he acual price. Prices of he base period(june 2011) are differen by region, so he indexes of Jeonse price and house purchase price canno be compared by region. However, he aim of his sudy is o analyze he rend of price by region, so I used he house price saisics by Kookmin Bank because i is considered more reliable han he saisics of acual sales price, which reflecs only he price change of he purchased house 17. The naural logarihm of he indexes of Jeonse price and house purchase price were used as level variables. Expecaion for house price increase( E ] ) applied he adapive expecaions [ a 1 hypohesis and employed he average one year pas house price increasing rae as proxy. Pracically, ha consumers in he housing marke have predicive abiliy abou he fuure is hard o say. Moreover, no many sudies on expecaion formaion for paricipans in Korean housing marke have been conduced. Based on he sudy of expecaion formaion for paricipans in he US house marke(hamilon and Schwab 16 An example of he mehod of comparing sales(renal) is he mehod of deermining he price of real esae. Afer collecing many examples of ransacions, he mos similar case is chosen. If needed, he base period or he siuaion can be revised. 1 Facor of region: similariy of locaion 2 Individual facor: physical similariy 3 Revision of siuaion: if he price of he colleced example of he ransacion is inappropriae because of a specific siuaion of he dealer or individual moivaion, he price is correced o a normal one. 4 Revision of base period (similariy of ime): if here is a price change beween he ime of purchasing real esae and he repored ime, he price of he sample ransacion is correced o he price of he repored ime. 17 The aim of saisics of house price in Kookmin bank is o esimae he variaion of price of sample houses which represen all houses, bu he aim of saisics of acual sales price is o esimae he variaion of price of purchased houses. Thus, hey are differen saisics. (Source: Kookmin Bank Home Price Trends Survey ) 14
15 1985), expecaion formaion of economic agens depends on he rend of he pas, no on a reasonable forecasing 18. Moreover, in he presen paper, no only he average one year pas house price increasing rae bu also he average one year pas house price increasing rae lagged on each firs, second, and hird year is considered independen variables, and hey are analyzed ogeher. The paper aemps o overcome he limiaion of previous relaed sudies ha only applied he uniformly shor-erm average pas house price increasing rae as he rising expecaion rae porion, considering ha alhough consumers expecaion formaion for he fuure relies on he pas, a difference exiss depending on he consumers. Privae secor morgage loan ineres-raes of he formal financial marke( r ) is represened as an average weighed by new loans exended during he period by naionwide commercial banks and colleced a he cenral bank. The exac proxy of he privae secor morgage loan ineres-raes of he formal house financial marke is he ineres raes of he morgage loan for privae, bu i colleced only from Sepember The correlaion beween he ineres raes of morgage loan and he privae lending raes from Sepember 2001 o Ocober 2011 is , so using he privae secor lending ineres raes as proxy will no be a problem. I used deb o income (DTI), 19 which is he regulaion for morgage value and borrower s capabiliy o repay as proxy of he governmen s regulaion for he housing finance marke. I used dummy variable, which is one since March 2006 when DTI was implemened in earnes and zero before March The sudy of Hamilon and Schwab is abou wheher paricipans of house marke use all available informaion when hey make heir expecaion.hamilon and Schwab. B.W. Hamilon and D.L. Schwab, Expeced Appreciaion in Urban Housing Marke", Journal of Urban Economics, Vol.17 pp , 1985 Kim Jung-Ho & Lee Myung-Jae, An Empirical Analysis of Jonsei Deposi Raio in Seoul Housing Marke, Korean Regional Science Associaion Regional Sudies, Vol. 5 No. 1 pp.13-26, 1989, re-quoe 19 DTI = (monhly repaymen of he principal and ineres of loan + esimaed repaymen of ineres of oher loans) / monhly income 15
16 The objecs of analysis are he aparmens, which are he main housing ype of Korea, and overall houses, which include aparmens 20, deached houses 21, and row houses 22. Regions of analysis are he enire counry, Seoul 23, Gangnam in Seoul 24, and Gangbuk in Seoul 25, respecively. Period of analysis is from January 1996 o Ocober 2011, for a oal of 190 monhs Esimaion Mehod and Esimaion Resuls I ook he logarihm of each variable based on Equaion (5). The following shows he regression model: ln C ln P ln(1 a) ln(1 a1) ln(1 a2) ln(1 a3) ln r ( regulaion ) (6) a represens he average one year pas house price increasing rae, and a1 a 2, and a3 represen ha of lagged a a one, wo, and hree years, respecively. The esimaion mehod used is he ordinary leas squares mehod. The presen paper aemps o analyze he following. Firs, is here a difference beween Jeonse price and house purchase price, which boh provide exacly he same housing service(i.e., 20 An aparmen is a five-sory or more building (including he five-sory or more dormiories.) 21 Deached houses include houses ha are no aparmens, row houses, muliplex houses, or dormiories. They also include houses wih small shops inside and muliple dwellings. 22 Row houses include four-sory or less buildings ha have more han 660 m2 gross area. (including four-sory or less dormiories). 23 Capial ciy of Korea 24 Gangnam in Seoul includes 11 gu (an adminisraive disric of Korea) souh of he Han River, which are Gangnam-gu, Gangdong-gu, Gangseo-gu, Gwanak-gu, Gurogu, Geumcheon-gu, Dongjak-gu, Seocho-gu, Songpa-gu, Yangcheon-gu, and Yeongdeungpo-gu. 25 Gangbuk in Seoul includes 14 gu norh of he Han River, which are Gangbuk-gu, Gwangjin-gu, Nowon-gu, Dobong-gu, Dongdaemun-gu, Mapo-gu, Seodaemun-gu, Seongdong-gu, Seongbuk-gu, Yongsan-gu, Eunpyeong-gu, Jongno-gu, Jung-gu, and Jungnang-gu. 16
17 C P or no)? Second, if here is a difference beween he wo prices, is i possible o explain i using he variables from house purchase, housing renal, and housing finance markes. Therefore, I esed he null hypohesis H 1 and H : 0 ( i 2,...,7). 0 : 1 0 i The esimaion resuls on he enire counry, Seoul, Gangnam in Seoul, and Gangbuk in Seoul are presened in [Table 1] and [Table 1-1]. [Table 1] Esimaion Resuls of Overall Houses by Regional Groups for H 1 0 : 1 Whole Counry Seoul Seoul, Gangnam Seoul, Gangbuk Classificaion Log(house purchasing price) ** (0.845) (0.557) (0.037) (0.172) noe: *** p<0.01, ** p<0.05, * p<0.1 The esimaion resuls of he overall houses are presened in Table 1. Null hypohesis( H 0 ) is 1. The esimaion resuls show ha, generally, he null 1 hypohesis, ha is, he Jeonse price is equal o he house-purchasing price, canno be rejeced excep for Gangnam in Seoul. Thus, his resuls show ha Jeonse price is no differen from he house purchase price. However, his is no he case in Gangnam in Seoul. Jeonse price is differen from he house purchase price a a 5% significance level in Gangnam in Seoul. These esimaion resuls are consisen wih he fac ha he increase in house price in Korea mainly occurred in Seoul, especially in Gangnam, he souhern pars of Seoul. Jeonse price is differen from he house purchase price in he region where people expec grea capial gain. 17
18 [Table 1-1] Esimaion Resuls of Overall Houses by Regional Groups for H : 0( i 2,3,4,5,6,7 ) 0 i Whole Counry Seoul Seoul, Gangnam Seoul, Gangbuk Classificaion log(1-a) log(1-a1) log(1-a2) log(1-a3) log(lending ineres rae) regulaion *** *** *** (0.000) (0.004) (0.000) (0.393) *** 0.778** 1.004** (0.383) (0.001) (0.014) (0.010) 1.031** 2.571*** 2.870*** 4.563*** (0.018) (0.000) (0.000) (0.000) 3.488*** 4.623*** 3.672*** 4.246*** (0.000) (0.000) (0.000) (0.000) *** *** *** *** (0.000) (0.000) (0.000) (0.000) *** *** *** *** (0.000) (0.000) (0.000) (0.000) Number of obs R-squared Roo MSE noe: *** p<0.01, ** p<0.05, * p<0.1 The average growh rae of house purchase price lagged one, wo, and hree years(i.e., a 1, a 2, and a 3, respecively) is significan o Jeonse price in Gangnam and Gangbuk of Seoul and Seoul(including Gangnam and Gangbuk). However, heir effec on Jeonse price is relaively small in he enire counry. These resuls emerged as only he average growh rae of house purchase price lagged wo and hree years( a 2, a 3 ) is significan in he enire counry, and he coefficien is smaller han ha in Gangnam and Gangbuk of Seoul and Seoul. This esimaion covers he enire counry; hus, i seems ha he growh rae of house purchase price is no closely linked o he Jeonse price in small and medium-sized ciies, excep Seoul. Expecaion for capial gain has been large 18
19 in Gangnam of Seoul. Based on he empirical heoreical argumen, if here are expecaions for capial gain, he gap beween house purchase price and Jeonse price occurs hrough he house purchase marke, and he supply of Jeonse increase hrough he house renal marke. Finally, he Jeonse price decreases. The ineres-raes of privae loan( r ) was significan and negaive o Jeonse price a a 1% significance level in all regions. This finding suppors he heoreical argumen ha, if he ineres-raes of loan, which is he cos for using he formal financial marke decreases, he preference of he lender for Jeonse, which is informal finance, decreases; hus, Jeonse price increases because of he decrease in Jeonse supply. The regulaion variable( regulaion ) was also negaively significan a he 1% significance level, as prediced by heoreical analysis in all regions esimaed. These esimaion resuls are consisen wih he fac ha accessing he housing finance marke is difficul because of DTI, supply of Jeonse, privae housing finance, increases, and Jeonse price decreases. Here, he coefficien of Seoul is greaer han ha of he enire counry. This finding is assumed because pracical regulaion is imposed inensively in Seoul, where house price has dramaically increased. Conclusively, he variables were mosly significan o Jeonse price, as prediced by heoreical analysis. However, he coefficien of he house price increasing rae variables(i.e., a 1, a 2, and a 3 ) was relaively higher compared wih ha of privae lending ineres-raes( r ) or regulaion( regulaion ) variables. We can assume ha when he role of house as he invenory o ake capial gain primary is emphasized, he incenives o raise funds are subsidized from he formal or informal financial marke o obain capial gain. Nex, he esimaion resuls of aparmens, which accoun for over 50% of Korean house ypes and have an overwhelming house price increasing rae compared wih deached houses or row houses, are presened. The resuls analyzed by regional groups are given in [Table 2] and [Table 2-1]. 19
20 [Table 2] Esimaion Resuls of Aparmens by Regional Groups for H 1 0 : 1 Whole Counry Seoul Seoul, Gangnam Seoul, Gangbuk Classificaion Log(house purchasing price) 0.820*** 0.768** 0.663*** (0.000) (0.018) (0.000) (0.138) noe: *** p<0.01, ** p<0.05, * p<0.1 Esimaion resuls when he house is resriced o aparmens are presened in Table 2. Null hypohesis is 1 1. This resul is very differen from ha for overall houses(incliding aparmens, deached houses, and row houses). Esimaion resul shows ha Jeonse price was differen from house purchase price a a 1% significance level in Gangnam of Seoul (5% significance level for overall houses). An imporan difference for aparmens is ha Jeonse price was differen from he house purchase price a 1% and 5% significance level in he enire counry and Seoul, respecively. Similarly, he Jeonse price was low in he region(i.e., Gangnam of Seoul) where people have grea expecaion for capial gain (Table 1). The main reason why he Jeonse price of aparmens deviaed much from he house purchasing price is ha he capial gain of aparmens was much greaer han ha of deached houses and row houses. 20
21 [Table 2-1] Esimaion Resuls of Toal Housing Types by Regional Groups for H : 0( i 2,3,4,5,6,7 ) 0 i Whole Counry Seoul Seoul, Gangnam Seoul, Gangbuk Classificaion log(1-a) log(1-a1) log(1-a2) log(1-a3) log(lending ineres rae) regulaion *** *** *** *** (0.000) (0.000) (0.000) (0.003) 0.339*** 0.964*** 0.667** 1.264*** (-0.108) (0.001) (0.013) (0.000) 3.066*** 3.279*** 2.630*** 3.526*** (0.000) (0.000) (0.000) (0.000) 2.682*** 3.509*** 3.267*** 2.880*** (0.000) (0.000) (0.000) (0.000) *** *** *** *** (0.000) (0.000) (0.000) (0.000) *** *** *** *** (0.000) (0.000) (0.000) (0.000) Number of obs R-squared Roo MSE noe: *** p<0.01, ** p<0.05, * p<0.1 The average growh rae of house purchase price lagged one, wo, and hree years(i.e., a 1, a 2, and a 3 ) was more significan in aparmens han in overall houses. The average growh rae of house purchasing price lagged one year( a 1) was no significan in overall houses bu was significan a he 1% level in Seoul and enire counry for aparmens. This finding may be caused by he fac ha aparmens have been used as a means of obaining capial gain han overall houses, which include deached houses and row houses. Thus, his expecaion for capial gain affecs he relaive decrease in Jeonse price in aparmens. 21
22 The ineres-raes of privae loan( r ) was significan and negaive o Jeonse price a he 1% level in all regions in overall houses. However, he coefficien was generally increased in overall houses. The reason is ha he ineres-raes of privae loan as cos for he formal financial marke becomes more imporan, as aparmens serve as invesmen goods o obain capial gain han overall houses. The regulaion variable( regulaion ) is no much differen from he case of overall houses. I was also negaively significan a he 1% significance level, as prediced by heoreical analysis in all regions esimaed. These esimaion resuls are consisen wih he fac ha accessing he housing finance marke is difficul because of DTI, supply of Jeonse, privae housing finance, increases, and Jeonse price decreases, as well. Variables are mosly significan o Jeonse price, as prediced by heoreical analysis, in he case of aparmens as well. However, he resuls for aparmens show ha Jeonse price is differen from sales price, he explanaion power of he house price increasing rae variables(i.e., a 1, a 2, and a 3 ) have improved, and he coefficien value of privae lending ineres-raes( r ) is higher compared wih he case of overall houses. Considering he region expeced o obain more capial gain compared wih oher regions(seoul Gangnam) and he probabiliy ype expeced o have more capial gain compared wih oher ypes of houses(aparmens), he incenives o inves in houses are likely o increase by raising funds. In his case, Jeonse price has a gap wih he house purchase price, improving he explanaion power of he variables(i.e., a 1, 2 a, a 3 and regulaion ). Moreover, he mos imporan facor marking he difference beween Jeonse price and house purchase price is he expecaion for house price increase., r, Chaper 4. Conclusion knowing he Jeonse sysem is very imporan o gain an in-deph undersanding of he Korean housing marke. The Korean Governmen is rying o sabilize he Jeonse price o improve housing securiy for he Korean people. Furhermore, a recen, sharp 22
23 rise in Jeonse price had a srong influence on people, such ha he press repors his issue every day. Despie his siuaion, here has been very lile research focusing on he Jeonse price, even hough here are research abou how he housing price is deermined, how much housing price affecs Jeonse price, or vice versa. The presen paper analyzed he reason why Jeonse price has heoreically a differen house purchase price, in consideraion of he acual Jeonse sysem characerisics wih respec o house purchase, housing renal, and housing finance markes. I also invesigaed wheher he heoreical model coincides wih he real Korean siuaion. The curren work sared from house purchase marke. I began wih addressing he issue of why Jeonse price is differen from house purchase price, even hough boh provide he same housing services(same locaion, same physical space). Pracically, Jeonse price is lower han he general house purchase cos in he mos regions of Korea. Firs, his sudy obained he reason ha Jeonse price is lower han he house purchase price due o he expecaion for house price increase. Houses are used no only as consumer goods ha provide domicile service bu also as invesmen o obain capial gain in he fuure. Empirical resuls indicaed ha he Jeonse price is more likely o have a gap wih house purchase price in region Gangam of Seoul expeced o obain more capial gain compared wih oher regions, and in aparmen house ype expeced o have more capial gain compared wih oher ypes of houses. Also, he explanaion power of he house price increasing rae variables(i.e., a 1, a 2, and a 3 ) have improved in his region and his ype. Moreover, he mos imporan facor marking he difference beween Jeonse price and house purchase price is he expecaion for house price increase because coefficien value of house price increasing rae is higher han hose of oher variables. Second, he sudy focused on he role of Jeonse in he housing renal and housing finance markes. Jeonse no only funcions as a house-renal conrac service bu also plays an imporan role as a curbed privae loan marke in he absence of an official 23
24 privae banking secor. From 1990s, however, as insiuional money marke open o privae secor, he decrease in he raio of he Jeonse conrac in he housing renal marke affec o increase Jeonse price. This was shown ha ineres-raes of privae loan and regulaions on he housing financial marke variables was significan and negaive. Conclusively, if here are sable housing marke raded only housing services and no excessive capial gain from house ownership and i is easier o assess he insiuional house finance marke, Jeonse price will approach house purchase price as well as raio of Jeonse conrac in he housing renal marke will decrease. Therefore, he recen surge in Jeonse price, ogeher wih he decrease in Jeonse supply, is a naural phenomenon because expecaion for house price increase has been sagnae, and an insiuional housing financial secor has been developed in he pas 15 years. 24
25 Appendix: Esimaion Equaion abou Indexes of Jeonse price and House purchasing price Sources: Kookmin Bank Home Price Trends Survey 1. Index of i-house ype in h region :, where 2. Overall index in h region :, where 3. Overall index of i-house ype : 4. Overall index in he whole counry : h : region (gu or ciy) i : ype of house (i=1,2,3) j : individual sample house θ : Indexes of House purchase price : Indexes of house purchase price(jeonse price) a : Indexes of house purchase price(jeonse price) a base period : raio of house price a W : weigh using raio of house sock d : weigh using probabiliy of selecion : sample size of i-house ype in h region : populaion size of i-house ype in h region 25
26 References Kookmin Bank, Home Price Trends Survey Bank of Korea, Bank of Korea Research-Bo governor-general of he Chosen a social cusoms repor, 1910 Korean Economy Compilaion Commiee, The Korean Economy: Six Decades of Growh and Developmen, Korea Developmen Insiue(in Korean) Vol. 1, 2010, Ko Sang Yong, A Sudy on he Proecion of Tenans leasing Dwelling - House, Universiy of Sungkyunkwan Social Science Review, Vol.17 No.1 pp5-50, 1979 Se-Jik Kim(Seoul Naional Universiy) & Hyun Song Shin(Princeon Universiy), Financing Growh wihou Banks: Korean Housing Repo Conrac Kim Jung-Ho & Lee Myung-Jae, An Empirical Analysis of Jonsei Deposi Raio in Seoul Housing Marke, Korean Regional Science Associaion Regional Sudies, Vol. 5 No. 1 pp.13-26, 1989 Hwang Doo-Hyun, The Lagged Adjusmen Process of Sales and Renal Prices in Korean Housing markes, Universiy of Hongik Economic Review, Vol. 6 pp.23-38, 1990 Kim Kyung-Sik, Srucure Change of Housing Marke, LG Economic Research Insiue, 2002 Lim Yun-Sung, Liquidiy Resricions on Life Cycle Model and Analysis of Chonsei Price o Sale Price Raio, Korean House Sociey Journal of House, Vol. 8 No. 8 pp.5-25, 1996 Choi Chang-Gyu & Ji Kyu-Hyun, Modeling Chonsei and Monhly Ren Srucure wih Morgage Lending and Tenan's Asse Consrain, Korea Planners Associaion Urban Planning, Vol. 42 No. 3 pp , 2007 Choi Chang-Gyu & Ji Kyu-Hyun, Landlord's Choice Beween Chonsei and Monhly Ren under Morgage Financing, Korea Planners Associaion Urban Planning, Vol. 43 No. 6 pp.53-67, 2008 Lee Chang-Moo & Chung Eui-Chul & Lee Hyun-Seok, An Analysis of Srucure of he Monhly ren wih Securiy Deposi Marke, Korea Planners Associaion Urban Planning, Vol. 37 No. 6 pp.87-97,
27 Lee Sang-Young & Kim Hyun-A & Lee Huy, A Sudy of Esimaing he Size of he Housing Loan Marke in Korea, Korean House Sociey Journal of House, Vol. 10 No. 1 pp , 2002 Lee Sang-Il & Lee Chang-Moo, Differenial Housing Demand by Rener"s Choice beween Chonsei and Monhly Ren wih Variable Deposi, Korean House Sociey Journal of House, Vol. 14 No. 1 pp , 2006 Jung Eui-Chul & Shim Jong-Won, Deerminans of Raio of Chonsei o Monhly-Renwih-Variable-Deposi Conracs in Aparmen Renal Housing Markes, Korea Research Insiue for Human Selemens The Korea Spaial Planning Review, Vol. 44 pp.87-99, 2005 Lee Chang-Moo & Lee Sang-Young & Ahn Kun-Hyuck, An Empirical Analysis on Monhly Ren wih Variable Deposi, Korea Planners Associaion Urban Planning, Vol. 38 No. 1 p110, 2003 Lim Jae-Man, A Sudy on he Volailiy of Housing Sales Prices, Korean House Sociey Journal of House, Vol. 14 No. 2 pp.65-84, 2006 Bren W. Ambrose and Sunwoong Kim, "Modeling he Korean Chonsei Lease Conrac", Real Esae Economics, Vol.31 No.1 pp.53-74, 2003 Dongchul Cho, "Ineres Rae, Inflaion, and Housing Price Wih an Emphasis on Chonsei Price in Korea", Naional Bureau of Economic Research, Inc NBER Working Papers wih number 11054, 2005 B.W. Hamilon and D.L. Schwab, "Expeced Appreciaion in Urban Housing Marke", Journal of Urban Economics, Vol. 17 pp ,
BALANCE OF PAYMENTS. First quarter 2008. Balance of payments
BALANCE OF PAYMENTS DATE: 2008-05-30 PUBLISHER: Balance of Paymens and Financial Markes (BFM) Lena Finn + 46 8 506 944 09, [email protected] Camilla Bergeling +46 8 506 942 06, [email protected]
Appendix D Flexibility Factor/Margin of Choice Desktop Research
Appendix D Flexibiliy Facor/Margin of Choice Deskop Research Cheshire Eas Council Cheshire Eas Employmen Land Review Conens D1 Flexibiliy Facor/Margin of Choice Deskop Research 2 Final Ocober 2012 \\GLOBAL.ARUP.COM\EUROPE\MANCHESTER\JOBS\200000\223489-00\4
The Grantor Retained Annuity Trust (GRAT)
WEALTH ADVISORY Esae Planning Sraegies for closely-held, family businesses The Granor Reained Annuiy Trus (GRAT) An efficien wealh ransfer sraegy, paricularly in a low ineres rae environmen Family business
Chapter 8: Regression with Lagged Explanatory Variables
Chaper 8: Regression wih Lagged Explanaory Variables Time series daa: Y for =1,..,T End goal: Regression model relaing a dependen variable o explanaory variables. Wih ime series new issues arise: 1. One
Morningstar Investor Return
Morningsar Invesor Reurn Morningsar Mehodology Paper Augus 31, 2010 2010 Morningsar, Inc. All righs reserved. The informaion in his documen is he propery of Morningsar, Inc. Reproducion or ranscripion
Chapter 6: Business Valuation (Income Approach)
Chaper 6: Business Valuaion (Income Approach) Cash flow deerminaion is one of he mos criical elemens o a business valuaion. Everyhing may be secondary. If cash flow is high, hen he value is high; if he
Why Did the Demand for Cash Decrease Recently in Korea?
Why Did he Demand for Cash Decrease Recenly in Korea? Byoung Hark Yoo Bank of Korea 26. 5 Absrac We explores why cash demand have decreased recenly in Korea. The raio of cash o consumpion fell o 4.7% in
Hedging with Forwards and Futures
Hedging wih orwards and uures Hedging in mos cases is sraighforward. You plan o buy 10,000 barrels of oil in six monhs and you wish o eliminae he price risk. If you ake he buy-side of a forward/fuures
PROFIT TEST MODELLING IN LIFE ASSURANCE USING SPREADSHEETS PART ONE
Profi Tes Modelling in Life Assurance Using Spreadshees PROFIT TEST MODELLING IN LIFE ASSURANCE USING SPREADSHEETS PART ONE Erik Alm Peer Millingon 2004 Profi Tes Modelling in Life Assurance Using Spreadshees
The Greek financial crisis: growing imbalances and sovereign spreads. Heather D. Gibson, Stephan G. Hall and George S. Tavlas
The Greek financial crisis: growing imbalances and sovereign spreads Heaher D. Gibson, Sephan G. Hall and George S. Tavlas The enry The enry of Greece ino he Eurozone in 2001 produced a dividend in he
The Determinants of Trade Credit: Vietnam Experience
Proceedings of he Second Asia-Pacific Conference on Global Business, Economics, Finance and Social Sciences (AP15Vienam Conference) ISBN: 978-1-63415-833-6 Danang, Vienam, 10-12 July 2015 Paper ID: V536
DOES TRADING VOLUME INFLUENCE GARCH EFFECTS? SOME EVIDENCE FROM THE GREEK MARKET WITH SPECIAL REFERENCE TO BANKING SECTOR
Invesmen Managemen and Financial Innovaions, Volume 4, Issue 3, 7 33 DOES TRADING VOLUME INFLUENCE GARCH EFFECTS? SOME EVIDENCE FROM THE GREEK MARKET WITH SPECIAL REFERENCE TO BANKING SECTOR Ahanasios
Market Liquidity and the Impacts of the Computerized Trading System: Evidence from the Stock Exchange of Thailand
36 Invesmen Managemen and Financial Innovaions, 4/4 Marke Liquidiy and he Impacs of he Compuerized Trading Sysem: Evidence from he Sock Exchange of Thailand Sorasar Sukcharoensin 1, Pariyada Srisopisawa,
Duration and Convexity ( ) 20 = Bond B has a maturity of 5 years and also has a required rate of return of 10%. Its price is $613.
Graduae School of Business Adminisraion Universiy of Virginia UVA-F-38 Duraion and Convexiy he price of a bond is a funcion of he promised paymens and he marke required rae of reurn. Since he promised
Chapter 1.6 Financial Management
Chaper 1.6 Financial Managemen Par I: Objecive ype quesions and answers 1. Simple pay back period is equal o: a) Raio of Firs cos/ne yearly savings b) Raio of Annual gross cash flow/capial cos n c) = (1
Double Entry System of Accounting
CHAPTER 2 Double Enry Sysem of Accouning Sysem of Accouning \ The following are he main sysem of accouning for recording he business ransacions: (a) Cash Sysem of Accouning. (b) Mercanile or Accrual Sysem
Principal components of stock market dynamics. Methodology and applications in brief (to be updated ) Andrei Bouzaev, bouzaev@ya.
Principal componens of sock marke dynamics Mehodology and applicaions in brief o be updaed Andrei Bouzaev, [email protected] Why principal componens are needed Objecives undersand he evidence of more han one
DYNAMIC MODELS FOR VALUATION OF WRONGFUL DEATH PAYMENTS
DYNAMIC MODELS FOR VALUATION OF WRONGFUL DEATH PAYMENTS Hong Mao, Shanghai Second Polyechnic Universiy Krzyszof M. Osaszewski, Illinois Sae Universiy Youyu Zhang, Fudan Universiy ABSTRACT Liigaion, exper
LEASING VERSUSBUYING
LEASNG VERSUSBUYNG Conribued by James D. Blum and LeRoy D. Brooks Assisan Professors of Business Adminisraion Deparmen of Business Adminisraion Universiy of Delaware Newark, Delaware The auhors discuss
Present Value Methodology
Presen Value Mehodology Econ 422 Invesmen, Capial & Finance Universiy of Washingon Eric Zivo Las updaed: April 11, 2010 Presen Value Concep Wealh in Fisher Model: W = Y 0 + Y 1 /(1+r) The consumer/producer
How To Calculate Price Elasiciy Per Capia Per Capi
Price elasiciy of demand for crude oil: esimaes for 23 counries John C.B. Cooper Absrac This paper uses a muliple regression model derived from an adapaion of Nerlove s parial adjusmen model o esimae boh
Individual Health Insurance April 30, 2008 Pages 167-170
Individual Healh Insurance April 30, 2008 Pages 167-170 We have received feedback ha his secion of he e is confusing because some of he defined noaion is inconsisen wih comparable life insurance reserve
Usefulness of the Forward Curve in Forecasting Oil Prices
Usefulness of he Forward Curve in Forecasing Oil Prices Akira Yanagisawa Leader Energy Demand, Supply and Forecas Analysis Group The Energy Daa and Modelling Cener Summary When people analyse oil prices,
Risk Modelling of Collateralised Lending
Risk Modelling of Collaeralised Lending Dae: 4-11-2008 Number: 8/18 Inroducion This noe explains how i is possible o handle collaeralised lending wihin Risk Conroller. The approach draws on he faciliies
Table of contents Chapter 1 Interest rates and factors Chapter 2 Level annuities Chapter 3 Varying annuities
Table of conens Chaper 1 Ineres raes and facors 1 1.1 Ineres 2 1.2 Simple ineres 4 1.3 Compound ineres 6 1.4 Accumulaed value 10 1.5 Presen value 11 1.6 Rae of discoun 13 1.7 Consan force of ineres 17
INTEREST RATE FUTURES AND THEIR OPTIONS: SOME PRICING APPROACHES
INTEREST RATE FUTURES AND THEIR OPTIONS: SOME PRICING APPROACHES OPENGAMMA QUANTITATIVE RESEARCH Absrac. Exchange-raded ineres rae fuures and heir opions are described. The fuure opions include hose paying
Evidence from the Stock Market
UK Fund Manager Cascading and Herding Behaviour: New Evidence from he Sock Marke Yang-Cheng Lu Deparmen of Finance, Ming Chuan Universiy 250 Sec.5., Zhong-Shan Norh Rd., Taipe Taiwan E-Mail [email protected],
MACROECONOMIC FORECASTS AT THE MOF A LOOK INTO THE REAR VIEW MIRROR
MACROECONOMIC FORECASTS AT THE MOF A LOOK INTO THE REAR VIEW MIRROR The firs experimenal publicaion, which summarised pas and expeced fuure developmen of basic economic indicaors, was published by he Minisry
Term Structure of Prices of Asian Options
Term Srucure of Prices of Asian Opions Jirô Akahori, Tsuomu Mikami, Kenji Yasuomi and Teruo Yokoa Dep. of Mahemaical Sciences, Risumeikan Universiy 1-1-1 Nojihigashi, Kusasu, Shiga 525-8577, Japan E-mail:
11/6/2013. Chapter 14: Dynamic AD-AS. Introduction. Introduction. Keeping track of time. The model s elements
Inroducion Chaper 14: Dynamic D-S dynamic model of aggregae and aggregae supply gives us more insigh ino how he economy works in he shor run. I is a simplified version of a DSGE model, used in cuing-edge
BALANCE OF PAYMENTS AND FINANCIAL MA REPORT 2015. All officiell statistik finns på: www.scb.se Statistikservice: tfn 08-506 948 01
RKET BALANCE OF PAYMENTS AND FINANCIAL MA REPORT 2015 All officiell saisik finns på: www.scb.se Saisikservice: fn 08-506 948 01 All official saisics can be found a: www.scb.se Saisics service, phone +46
USE OF EDUCATION TECHNOLOGY IN ENGLISH CLASSES
USE OF EDUCATION TECHNOLOGY IN ENGLISH CLASSES Mehme Nuri GÖMLEKSİZ Absrac Using educaion echnology in classes helps eachers realize a beer and more effecive learning. In his sudy 150 English eachers were
II.1. Debt reduction and fiscal multipliers. dbt da dpbal da dg. bal
Quarerly Repor on he Euro Area 3/202 II.. Deb reducion and fiscal mulipliers The deerioraion of public finances in he firs years of he crisis has led mos Member Saes o adop sizeable consolidaion packages.
The Interest Rate Risk of Mortgage Loan Portfolio of Banks
The Ineres Rae Risk of Morgage Loan Porfolio of Banks A Case Sudy of he Hong Kong Marke Jim Wong Hong Kong Moneary Auhoriy Paper presened a he Exper Forum on Advanced Techniques on Sress Tesing: Applicaions
SPEC model selection algorithm for ARCH models: an options pricing evaluation framework
Applied Financial Economics Leers, 2008, 4, 419 423 SEC model selecion algorihm for ARCH models: an opions pricing evaluaion framework Savros Degiannakis a, * and Evdokia Xekalaki a,b a Deparmen of Saisics,
SURVEYING THE RELATIONSHIP BETWEEN STOCK MARKET MAKER AND LIQUIDITY IN TEHRAN STOCK EXCHANGE COMPANIES
Inernaional Journal of Accouning Research Vol., No. 7, 4 SURVEYING THE RELATIONSHIP BETWEEN STOCK MARKET MAKER AND LIQUIDITY IN TEHRAN STOCK EXCHANGE COMPANIES Mohammad Ebrahimi Erdi, Dr. Azim Aslani,
Journal Of Business & Economics Research September 2005 Volume 3, Number 9
Opion Pricing And Mone Carlo Simulaions George M. Jabbour, (Email: [email protected]), George Washingon Universiy Yi-Kang Liu, ([email protected]), George Washingon Universiy ABSTRACT The advanage of Mone Carlo
The yield curve, and spot and forward interest rates Moorad Choudhry
he yield curve, and spo and forward ineres raes Moorad Choudhry In his primer we consider he zero-coupon or spo ineres rae and he forward rae. We also look a he yield curve. Invesors consider a bond yield
A Note on the Impact of Options on Stock Return Volatility. Nicolas P.B. Bollen
A Noe on he Impac of Opions on Sock Reurn Volailiy Nicolas P.B. Bollen ABSTRACT This paper measures he impac of opion inroducions on he reurn variance of underlying socks. Pas research generally finds
Contrarian insider trading and earnings management around seasoned equity offerings; SEOs
Journal of Finance and Accounancy Conrarian insider rading and earnings managemen around seasoned equiy offerings; SEOs ABSTRACT Lorea Baryeh Towson Universiy This sudy aemps o resolve he differences in
Relationships between Stock Prices and Accounting Information: A Review of the Residual Income and Ohlson Models. Scott Pirie* and Malcolm Smith**
Relaionships beween Sock Prices and Accouning Informaion: A Review of he Residual Income and Ohlson Models Sco Pirie* and Malcolm Smih** * Inernaional Graduae School of Managemen, Universiy of Souh Ausralia
Research on Inventory Sharing and Pricing Strategy of Multichannel Retailer with Channel Preference in Internet Environment
Vol. 7, No. 6 (04), pp. 365-374 hp://dx.doi.org/0.457/ijhi.04.7.6.3 Research on Invenory Sharing and Pricing Sraegy of Mulichannel Reailer wih Channel Preference in Inerne Environmen Hanzong Li College
Depreciation and Corporate Taxes
205 Depreciaion and Corporae Taxes Chris Hendrickson Carnegie Mellon Universiy Tung Au Carnegie Mellon Universiy 205.1 Depreciaion as Tax Deducion 205.2 Tax Laws and Tax Planning 205.3 Decision Crieria
Default Risk in Equity Returns
Defaul Risk in Equiy Reurns MRI VSSLOU and YUHNG XING * BSTRCT This is he firs sudy ha uses Meron s (1974) opion pricing model o compue defaul measures for individual firms and assess he effec of defaul
Measuring the Effects of Exchange Rate Changes on Investment. in Australian Manufacturing Industry
Measuring he Effecs of Exchange Rae Changes on Invesmen in Ausralian Manufacuring Indusry Robyn Swif Economics and Business Saisics Deparmen of Accouning, Finance and Economics Griffih Universiy Nahan
4. International Parity Conditions
4. Inernaional ariy ondiions 4.1 urchasing ower ariy he urchasing ower ariy ( heory is one of he early heories of exchange rae deerminaion. his heory is based on he concep ha he demand for a counry's currency
ARCH 2013.1 Proceedings
Aricle from: ARCH 213.1 Proceedings Augus 1-4, 212 Ghislain Leveille, Emmanuel Hamel A renewal model for medical malpracice Ghislain Léveillé École d acuaria Universié Laval, Québec, Canada 47h ARC Conference
A Note on Using the Svensson procedure to estimate the risk free rate in corporate valuation
A Noe on Using he Svensson procedure o esimae he risk free rae in corporae valuaion By Sven Arnold, Alexander Lahmann and Bernhard Schwezler Ocober 2011 1. The risk free ineres rae in corporae valuaion
Supplementary Appendix for Depression Babies: Do Macroeconomic Experiences Affect Risk-Taking?
Supplemenary Appendix for Depression Babies: Do Macroeconomic Experiences Affec Risk-Taking? Ulrike Malmendier UC Berkeley and NBER Sefan Nagel Sanford Universiy and NBER Sepember 2009 A. Deails on SCF
TEMPORAL PATTERN IDENTIFICATION OF TIME SERIES DATA USING PATTERN WAVELETS AND GENETIC ALGORITHMS
TEMPORAL PATTERN IDENTIFICATION OF TIME SERIES DATA USING PATTERN WAVELETS AND GENETIC ALGORITHMS RICHARD J. POVINELLI AND XIN FENG Deparmen of Elecrical and Compuer Engineering Marquee Universiy, P.O.
GOOD NEWS, BAD NEWS AND GARCH EFFECTS IN STOCK RETURN DATA
Journal of Applied Economics, Vol. IV, No. (Nov 001), 313-37 GOOD NEWS, BAD NEWS AND GARCH EFFECTS 313 GOOD NEWS, BAD NEWS AND GARCH EFFECTS IN STOCK RETURN DATA CRAIG A. DEPKEN II * The Universiy of Texas
Macroeconomic functions of the Russian stock market
December, 2. 6. 2013 Macroeconomic funcions of he Russian sock marke Adam Marszk Faculy of Managemen and Economics Gdańsk Universiy of Technology Gdańsk, Poland [email protected] Absrac The purpose
Chapter Four: Methodology
Chaper Four: Mehodology 1 Assessmen of isk Managemen Sraegy Comparing Is Cos of isks 1.1 Inroducion If we wan o choose a appropriae risk managemen sraegy, no only we should idenify he influence ha risks
Performance Center Overview. Performance Center Overview 1
Performance Cener Overview Performance Cener Overview 1 ODJFS Performance Cener ce Cener New Performance Cener Model Performance Cener Projec Meeings Performance Cener Execuive Meeings Performance Cener
Chapter 9 Bond Prices and Yield
Chaper 9 Bond Prices and Yield Deb Classes: Paymen ype A securiy obligaing issuer o pay ineress and principal o he holder on specified daes, Coupon rae or ineres rae, e.g. 4%, 5 3/4%, ec. Face, par value
Premium Income of Indian Life Insurance Industry
Premium Income of Indian Life Insurance Indusry A Toal Facor Produciviy Approach Ram Praap Sinha* Subsequen o he passage of he Insurance Regulaory and Developmen Auhoriy (IRDA) Ac, 1999, he life insurance
The Interaction of Guarantees, Surplus Distribution, and Asset Allocation in With Profit Life Insurance Policies
1 The Ineracion of Guaranees, Surplus Disribuion, and Asse Allocaion in Wih Profi Life Insurance Policies Alexander Kling * Insiu für Finanz- und Akuarwissenschafen, Helmholzsr. 22, 89081 Ulm, Germany
I. Basic Concepts (Ch. 1-4)
(Ch. 1-4) A. Real vs. Financial Asses (Ch 1.2) Real asses (buildings, machinery, ec.) appear on he asse side of he balance shee. Financial asses (bonds, socks) appear on boh sides of he balance shee. Creaing
Capital Flows and Current Account Sustainability: The Ghanaian Experience
CREDIT Research Paper No. 07/07 Capial Flows and Curren Accoun Susainabiliy: The Ghanaian Experience by Absrac Maxwell Opoku-Afari Boh heoreical and operaional definiions of curren accoun susainabiliy
Explaining the NZ-Australian exchange rate occasional paper
Wespac $ Insiuional Bank April 2002 Explaining he NZ-Ausralian exchange rae occasional paper Paul Conway and Richard Franulovich Wespac Insiuional Bank PO Box 691 Wellingon New Zealand Phone (644) 381-1414
THE INTERPLAY BETWEEN DIRECTOR COMPENSATION AND CEO COMPENSATION
The Inernaional Journal of Business and Finance Research VOLUME 8 NUMBER 2 2014 THE INTERPLAY BETWEEN DIRECTOR COMPENSATION AND CEO COMPENSATION Dan Lin, Takming Universiy of Science and Technology Lu
INTERNATIONAL REAL ESTATE REVIEW 2003 Vol. 6 No. 1: pp. 43-62. Banking System, Real Estate Markets, and Nonperforming Loans
Banking Sysem, Real Esae Markes, and Nonperforming Loans 43 INTERNATIONAL REAL ESTATE REVIEW 2003 Vol. 6 No. 1: pp. 43-62 Banking Sysem, Real Esae Markes, and Nonperforming Loans Wen-Chieh Wu Deparmen
Rationales of Mortgage Insurance Premium Structures
JOURNAL OF REAL ESTATE RESEARCH Raionales of Morgage Insurance Premium Srucures Barry Dennis* Chionglong Kuo* Tyler T. Yang* Absrac. This sudy examines he raionales for he design of morgage insurance premium
CRISES AND THE FLEXIBLE PRICE MONETARY MODEL. Sarantis Kalyvitis
CRISES AND THE FLEXIBLE PRICE MONETARY MODEL Saranis Kalyviis Currency Crises In fixed exchange rae regimes, counries rarely abandon he regime volunarily. In mos cases, raders (or speculaors) exchange
Determinants of Bank Long-term Lending Behavior in the Central African Economic and Monetary Community (CEMAC)
Review of Economics & Finance Submied on 05/Jan./2012 Aricle ID: 1923-7529-2012-02-107-08 Consan, Fouopi Djiogap and Augusin Ngomsi Deerminans of Bank Long-erm Lending Behavior in he Cenral African Economic
MSCI Index Calculation Methodology
Index Mehodology MSCI Index Calculaion Mehodology Index Calculaion Mehodology for he MSCI Equiy Indices Index Mehodology MSCI Index Calculaion Mehodology Conens Conens... 2 Inroducion... 5 MSCI Equiy Indices...
Payment Plans of Reverse Mortgage System in the Korean. Housing Market. Deokho Cho a, Seungryul Ma b,
1 Paymen Plans of Reverse Morgage Sysem in he Korean Housing Marke Deokho Cho a, Seungryul Ma b, a Deparmen of Public Adminisraion, Daegu Universiy, Gyeongbuk, Souh Korea b Deparmen of Insurance and Finance,
Markit Excess Return Credit Indices Guide for price based indices
Marki Excess Reurn Credi Indices Guide for price based indices Sepember 2011 Marki Excess Reurn Credi Indices Guide for price based indices Conens Inroducion...3 Index Calculaion Mehodology...4 Semi-annual
VALUE BASED FINANCIAL PERFORMANCE MEASURES: AN EVALUATION OF RELATIVE AND INCREMENTAL INFORMATION CONTENT
VALUE BASED FINANCIAL PERFORMANCE MEASURES: AN EVALUATION OF RELATIVE AND INCREMENTAL INFORMATION CONTENT Pierre Erasmus Absrac Value-based (VB) financial performance measures are ofen advanced as improvemens
Predicting Stock Market Index Trading Signals Using Neural Networks
Predicing Sock Marke Index Trading Using Neural Neworks C. D. Tilakarane, S. A. Morris, M. A. Mammadov, C. P. Hurs Cenre for Informaics and Applied Opimizaion School of Informaion Technology and Mahemaical
NATIONAL BANK OF POLAND WORKING PAPER No. 120
NATIONAL BANK OF POLAND WORKING PAPER No. 120 Large capial inflows and sock reurns in a hin marke Janusz Brzeszczyński, Marin T. Bohl, Dobromił Serwa Warsaw 2012 Acknowledgemens: We would like o hank Ludwig
Lecture Note on the Real Exchange Rate
Lecure Noe on he Real Exchange Rae Barry W. Ickes Fall 2004 0.1 Inroducion The real exchange rae is he criical variable (along wih he rae of ineres) in deermining he capial accoun. As we shall see, his
FORWARD AND FUTURES CONTRACTS
Page1 C H A P T E R 2 FORWARD AND FUTURES CONTRACTS 2.1 INTRODUCTION The main purpose of forward and fuures conracs is he managemen of risk. The exposure o risk as a resul of ransacing in he spo marke
Economics Honors Exam 2008 Solutions Question 5
Economics Honors Exam 2008 Soluions Quesion 5 (a) (2 poins) Oupu can be decomposed as Y = C + I + G. And we can solve for i by subsiuing in equaions given in he quesion, Y = C + I + G = c 0 + c Y D + I
Single-machine Scheduling with Periodic Maintenance and both Preemptive and. Non-preemptive jobs in Remanufacturing System 1
Absrac number: 05-0407 Single-machine Scheduling wih Periodic Mainenance and boh Preempive and Non-preempive jobs in Remanufacuring Sysem Liu Biyu hen Weida (School of Economics and Managemen Souheas Universiy
Measuring macroeconomic volatility Applications to export revenue data, 1970-2005
FONDATION POUR LES ETUDES ET RERS LE DEVELOPPEMENT INTERNATIONAL Measuring macroeconomic volailiy Applicaions o expor revenue daa, 1970-005 by Joël Cariolle Policy brief no. 47 March 01 The FERDI is a
An Empirical Comparison of Asset Pricing Models for the Tokyo Stock Exchange
An Empirical Comparison of Asse Pricing Models for he Tokyo Sock Exchange Absrac In his sudy we compare he performance of he hree kinds of asse pricing models proposed by Fama and French (1993), Carhar
How does working capital management affect SMEs profitability? This paper analyzes the relation between working capital management and profitability
How does working capial managemen affec SMEs profiabiliy? Absrac This paper analyzes he relaion beween working capial managemen and profiabiliy for small and medium-sized firms by conrolling for unobservable
The Real Business Cycle paradigm. The RBC model emphasizes supply (technology) disturbances as the main source of
Prof. Harris Dellas Advanced Macroeconomics Winer 2001/01 The Real Business Cycle paradigm The RBC model emphasizes supply (echnology) disurbances as he main source of macroeconomic flucuaions in a world
Debt Accumulation, Debt Reduction, and Debt Spillovers in Canada, 1974-98*
Deb Accumulaion, Deb Reducion, and Deb Spillovers in Canada, 1974-98* Ron Kneebone Deparmen of Economics Universiy of Calgary John Leach Deparmen of Economics McMaser Universiy Ocober, 2000 Absrac Wha
CEEP-BIT WORKING PAPER SERIES. The crude oil market and the gold market: Evidence for cointegration, causality and price discovery
CEEP-BIT WORKING PAPER SERIES The crude oil marke and he gold marke: Evidence for coinegraion, causaliy and price discovery Yue-Jun Zhang Yi-Ming Wei Working Paper 5 hp://www.ceep.ne.cn/english/publicaions/wp/
Small and Large Trades Around Earnings Announcements: Does Trading Behavior Explain Post-Earnings-Announcement Drift?
Small and Large Trades Around Earnings Announcemens: Does Trading Behavior Explain Pos-Earnings-Announcemen Drif? Devin Shanhikumar * Firs Draf: Ocober, 2002 This Version: Augus 19, 2004 Absrac This paper
The Impact of Surplus Distribution on the Risk Exposure of With Profit Life Insurance Policies Including Interest Rate Guarantees.
The Impac of Surplus Disribuion on he Risk Exposure of Wih Profi Life Insurance Policies Including Ineres Rae Guaranees Alexander Kling 1 Insiu für Finanz- und Akuarwissenschafen, Helmholzsraße 22, 89081
Migration, Spillovers, and Trade Diversion: The Impact of Internationalization on Domestic Stock Market Activity
Migraion, Spillovers, and Trade Diversion: The mpac of nernaionalizaion on Domesic Sock Marke Aciviy Ross Levine and Sergio L. Schmukler Firs Draf: February 10, 003 This draf: April 8, 004 Absrac Wha is
Chapter 8 Student Lecture Notes 8-1
Chaper Suden Lecure Noes - Chaper Goals QM: Business Saisics Chaper Analyzing and Forecasing -Series Daa Afer compleing his chaper, you should be able o: Idenify he componens presen in a ime series Develop
Debt and Fiscal Sustainability in Sri Lanka
Inernaional Journal of Scienific and Research Publicaions, Volume 2, Issue 3, March 212 1 Deb and Fiscal Susainabiliy in Sri Lanka N. P. Ravindra Deyshappriya Uva Wellassa Universiy SRI LANKA Absrac- Fiscal
Day Trading Index Research - He Ingeria and Sock Marke
Influence of he Dow reurns on he inraday Spanish sock marke behavior José Luis Miralles Marcelo, José Luis Miralles Quirós, María del Mar Miralles Quirós Deparmen of Financial Economics, Universiy of Exremadura
expressed here and the approaches suggested are of the author and not necessarily of NSEIL.
I. Inroducion Do Fuures and Opions rading increase sock marke volailiy Dr. Premalaa Shenbagaraman * In he las decade, many emerging and ransiion economies have sared inroducing derivaive conracs. As was
Does Option Trading Have a Pervasive Impact on Underlying Stock Prices? *
Does Opion Trading Have a Pervasive Impac on Underlying Sock Prices? * Neil D. Pearson Universiy of Illinois a Urbana-Champaign Allen M. Poeshman Universiy of Illinois a Urbana-Champaign Joshua Whie Universiy
The Impact of Surplus Distribution on the Risk Exposure of With Profit Life Insurance Policies Including Interest Rate Guarantees
1 The Impac of Surplus Disribuion on he Risk Exposure of Wih Profi Life Insurance Policies Including Ineres Rae Guaranees Alexander Kling Insiu für Finanz- und Akuarwissenschafen, Helmholzsraße 22, 89081
