A PRODUCTION INVENTORY MODEL WITH DETERIORATING ITEMS AND SHORTAGES

Size: px
Start display at page:

Download "A PRODUCTION INVENTORY MODEL WITH DETERIORATING ITEMS AND SHORTAGES"

Transcription

1 Yugoslav Journal of Oeraions Research 4 (004), Number, 9-30 A PRODUCTION INVENTORY MODEL WITH DETERIORATING ITEMS AND SHORTAGES G.P. SAMANTA, Ajana ROY Dearmen of Mahemaics Bengal Engineering College (D. U.), Howrah 703, INDIA Received: Ocober 003 / Acceed: March 004 Absrac: A coninuous roducion conrol invenory model for deerioraing iems wih shorages is develoed. A number of srucural roeries of he invenory sysem are sudied analyically. The formulae for he oimal average sysem cos, sock level, backlog level and roducion cycle ime are derived when he deerioraion rae is very small. Numerical examles are aken o illusrae he rocedure of finding he oimal oal invenory cos, sock level, backlog level and roducion cycle ime. Sensiiviy analysis is carried ou o demonsrae he effecs of changing arameer values on he oimal soluion of he sysem. Keywords: Deerioraing iem, shorage, economic order quaniy model.. INTRODUCTION In recen years, he conrol and mainenance of roducion invenories of deerioraing iems wih shorages have araced much aenion in invenory analysis because mos hysical goods deeriorae over ime. The effec of deerioraion is very imoran in many invenory sysems. Deerioraion is defined as decay or damage such ha he iem can no be used for is original urose. Food iems, drugs, harmaceuicals, radioacive subsances are examles of iems in which sufficien deerioraion can ake lace during he normal sorage eriod of he unis and consequenly his loss mus be aken ino accoun when analyzing he sysem. Research in his direcion began wih he work of Whiin [6] who considered fashion goods deerioraing a he end of a rescribed sorage eriod. Ghare and Schrader [7] develoed an invenory model wih a consan rae of deerioraion. An order level invenory model for iems deerioraing a a consan rae was discussed by Shah and Jaiswal [5]. Aggarwal [] reconsidered his model by recifying he error in he work of Shah and Jaiswal [5] in calculaing he average invenory holding cos. In all hese models, he demand rae and he deerioraion

2 0 G.P. Samana, A. Roy / A Producion Invenory Model wih Deerioraing Iems rae were consans, he relenishmen rae was infinie and no shorage in invenory was allowed. Researchers sared o develo invenory sysems allowing ime variabiliy in one or more han one arameers. Dave and Pael [5] discussed an invenory model for relenishmen. This was followed by anoher model by Dave [4] wih variable insananeous demand, discree ooruniies for relenishmen and shorages. Bahari- Kashani [] discussed a heurisic model wih ime-roorional demand. An Economic Order uaniy (EO) model for deerioraing iems wih shorages and linear end in demand was sudied by Goswami and Chaudhuri [8]. On all hese invenory sysems, he deerioraion rae is a consan. Anoher class of invenory models has been develoed wih ime-deenden deerioraion rae. Cover and Phili [3] used a wo-arameer Weibull disribuion o reresen he disribuion of he ime o deerioraion. This model was furher develoed by Phili [3] by aking a hree-arameer Weibull disribuion for he ime o deerioraion. Mishra [] analyzed an invenory model wih a variable rae of deerioraion, finie rae of relenishmen and no shorage, bu only a secial case of he model was solved under very resricive assumions. Deb and Chaudhuri [6] sudied a model wih a finie rae of roducion and a ime-roorional deerioraion rae, allowing backlogging. Goswami and Chaudhuri [9] assumed ha he demand rae, roducion rae and deerioraion rae were all ime deenden. Deailed informaion regarding invenory modelling for deerioraing iems was given in he review aricles of Nahmias [] and Rafaa [4]. An order-level invenory model for deerioraing iems wihou shorages has been develoed by Jalan and Chaudhuri [0]. In he resen aer we have develoed a coninuous roducion conrol invenory model for deerioraing iems wih shorages. I is assumed ha he demand rae and roducion rae are consans and he disribuion of he ime o deerioraion of an iem follows he exonenial disribuion. The main focus is on he srucural behaviour of he sysem. The convexiy of he cos funcion is esablished o ensure he exisence of a unique oimal soluion. The oimum invenory level is roved o be a decreasing funcion of he deerioraion rae where he deerioraion rae is aken as very small and he cycle ime is aken as consan. The formulae for he oimal average sysem cos, sock level, backlog level and roducion cycle ime are derived when he deerioraion rae is very small. Numerical examles are aken and he sensiiviy analysis is carried ou o demonsrae he effecs of changing arameer values on he oimal soluion of he sysem.. NOTATIONS AND MODELLING ASSUMPTIONS (i) (ii) (iii) (iv) (v) (vi) The following noaions and assumions are used for develoing he model. a is he consan demand rae. (> is he consan roducion rae. C is he holding cos er uni er uni ime. C is he shorage cos er uni er uni ime. C 3 is he cos of a deerioraed uni. (C,C and C 3 are known consans) C is he oal invenory cos or he average sysem cos.

3 G.P. Samana, A. Roy / A Producion Invenory Model wih Deerioraing Iems (vii) () is he invenory level a ime ( 0). (viii) Relenishmen is insananeous and lead ime is zero. (ix) T is he fixed duraion of a roducion cycle. (x) Shorages are allowed and backlogged. (xi) The disribuion of he ime o deerioraion of an iem follows he exonenial disribuion g() where e, for > 0, g () = 0, oherwise. is called he deerioraion rae; a consan fracion ( 0< << ) of he onhand invenory deerioraes er uni ime. I is assumed ha no reair or relacemen of he deerioraed iems akes lace during a given cycle. Here we assume ha he roducion sars a ime = 0 and sos a ime =. During [0, ], he roducion rae is and he demand rae is a ( < ). The sock aains a level a ime =. During [, ], he invenory level gradually decreases mainly o mee demands and arly for deerioraion. The sock falls o he zero level a ime =. Now shorages occur and accumulae o he level a ime = 3. The roducion sars again a a rae a = 3 and he backlog is cleared a ime = T when he sock is again zero. The cycle hen reeas iself afer ime T. This model is reresened by he following diagram: Invenory O 3 Time T

4 G.P. Samana, A. Roy / A Producion Invenory Model wih Deerioraing Iems 3. THE MATHEMATICAL MODEL AND ITS ANALYSIS Le () be he on-hand invenory a ime ( 0 T). Then he differenial equaions governing he insananeous sae of () a any ime are given by d() + () = a, 0 () d d() + () = a, () d d() = a, 3 (3) d d() = a, 3 T (4) d The boundary condiions are (0) = 0, ( ) =, ( ) = 0, ( 3 ) =, (T) = 0 (5) The soluions of equaions () (4) are given by () = ( ( e ), 0 (6) a a ( = + ( ) + ) e, (7) = a ( ), (8) 3 = ( ( ), T (9) From (5) and (6), we have 3 3 a e = ( ) = ( )( ) e = [ ] ( = log[ + { + }] ( ( = + a ( (0 (0b) (neglecing higher owers of, 0< << ).

5 G.P. Samana, A. Roy / A Producion Invenory Model wih Deerioraing Iems 3 Again from (5) and (7), we have a a 0 = ( ) = + ( + ) e ( ) = log ( + ) () a = log[( + ){ + + }] a ( ( (using (0) ) () Using he condiion ( 3 ) = -, we have from (8) a ( 3 ) = 3 = + (3) a 3 = + log[( + ){ + + }] a a ( ( (4) From (9) and (T) = 0, we have ( (T 3 ) = (5) Therefore, oal deerioraion in [0, T] = {( } + { a( )} ( a = [ log{ + + } ] + [ log( + )] a ( a = a log{ } log[{ }( )] + a + ( + a + ( + a = { + } a ( ( a { } a ( a a( a ( (Neglecing higher owers of ) = a( (6) The deerioraion cos over he eriod [0, T] C3 = a( (7)

6 4 G.P. Samana, A. Roy / A Producion Invenory Model wih Deerioraing Iems The shorage cos over he eriod [0, T] T = C { ( )} d 3 T = C [ a( ) d+ {( ( ) } d] (by (8) and (9)) 3 3 C = a( (by using (3) and (5) ) (8) The invenory carrying cos over he cycle [0, T] = C d 0 () ( a a ( ) [ ( ) { ( ) } ] 0 = C e d e d (9) Now, ( ( e ) d 0 ( = ( ) (neglecing higher owers of ) 3 3 = + ( 3( (using (0) and neglecing higher owers of ) (0) a a ( ) { ( ) } a a ( ) + + e d ( ) ( ) { e = + + } a a = log ( + ) + ( + ) { ( + ) } (by ) ) a a = a a log{ ( )} ( 3 ) { ( )} 3 a a + a + + a + a a = a a { ( )} ( 3 3 )( ) 3 a + a a a a + + a a + a = (neglecing higher owers of ) () a Therefore, he invenory carrying cos over he cycle [0, T ] 3 3 = C{ + + } = C { + } ( 3( a a( 3( ()

7 G.P. Samana, A. Roy / A Producion Invenory Model wih Deerioraing Iems 5 Hence he oal invenory cos of he sysem (using (7), (8) & () ) = C (, ) 3 C C C3 = { + } + + T a( 3( at( at( (3) From (4) and (5), we have at( ( a ) = a( (4) Therefore, using (3) and (4), he oal invenory cos of he sysem C C at ( = C ( ) = { + } + { T a( 3( at( 3 ( a ) C3 } + a ( a ) at ( a ) (5) Theorem : The average sysem cos funcion C( ) is sricly convex when 0< <<. Proof: Using (5), we have dc( ) C = { + } d T a( ( C ( a ) C3 { } at ( a( at ( + + ( ) ( ) { } [{ } dc C C a = d T a( ( at( a( ( a ) C ] 3 + > 0 a( at( (6) (as 0< << and > (7) Therefore C( ) is sricly convex when 0< <<. As C( ) is sricly convex in, here exiss an unique oimal sock level dc ha minimizes C( ). This oimal is he soluion of he equaion 0. d = We, herefore, find from (6) ha is he unique roo of he following equaion in : C C ( a ) C T a( ( at( a( at( 3 { + } { + } + = 0 (8) where is given by (4).

8 6 G.P. Samana, A. Roy / A Producion Invenory Model wih Deerioraing Iems Afer some calculaions, neglecing higher owers of, we have a( C T { CCT( + C ( C + C )} [ ] 3 = C ( + C) ( C+ C) which is a decreasing funcion of, where 0< <<. From (4), he oimal backlog level is given by (for fixed T ) : at( C a( CT { CCT ( + C3 ( C + C)} = + [ C ( + C) C ( + C) ( C + C) (30) ( CT + ] C ( + C) Therefore is an increasing or decreasing funcion of if CCT( + C ( C + C ) ( C T + > or < 0 resecively. ( ) 3 ( C + C) C+ C If is fixed and T varies, hen also vary and is given by (4). In his case he average sysem cos is a funcion of T alone and given by 3 C C at ( CT ( ) = { + } + { T a( 3( at( (3) ( a ) C3 } + a( at( Theorem : The average sysem cos funcion C(T), given by (3), is sricly convex when 0< <<. Proof: Here and 3 dc( T ) C = { + } dt T a( 3( C a( T ( { + } at ( a( C a( T ( C3 + { + } T a( at ( (9) (3) 3 dct ( ) C = { + } 3 dt T a( 3( + C ( { 3 at ( a( } + C 3 > 0 3 at ( (as 0< << and > (33)

9 G.P. Samana, A. Roy / A Producion Invenory Model wih Deerioraing Iems 7 Hence C(T) is sricly convex when 0< <<. Since C(T) is sricly convex in T, here exiss an unique oimal cycle ime T ha minimizes C(T). This oimal cycle ime T dc is he soluion of he equaion 0. dt = Therefore, he oimal cycle ime T is he unique roo of he following equaion in T (using (3) ) : 3 C C a( T { + } { T a( 3( at ( (34) ( C a( T ( C3 + } + { + } = 0 a( T a( at ( Afer some calculaions, neglecing higher owers of, we have T = [( C + C ) + { Ca + 3 C ( a ) + 3 C a( }] / 3 a( C 3 (35) Therefore, we conclude ha T is an increasing or decreasing funcion of if Ca + 3 C( a ) + 3 Ca( > or < 0 resecively NUMERICAL EXAMPLES Here we have calculaed oimal sock level, oimal backlog level,and he minimum average sysem cos C for given values of roducion cycle lengh T and oher arameers and T, and C for given values of and oher arameers by considering wo examles. Examle : Le = , C = 4, C =0, C 3 = 40, = 0, a = 8, and T = 80 in aroriae unis.based on hese inu daa, he comuer ouus are as follows : = , = and C = Examle : Here we have aken = , C = 4, C = 0, C 3 = 40, = 0, a = 8 and = 60 in aroriae unis. The comuer ouus are as follows : = 5.509, T = and C = SENSITIVITY ANALYSIS I. Here we have sudied he effecs of changes in he values of he arameers, C, C, C 3,, a and T on he oimal oal invenory cos, sock level and backlog level derived by he roosed mehod.the sensiiviy analysis is erformed by changing he value of each of he arameers by 50%, 5%, 5%, and 50%, aking one arameer a a ime and keeing he remaining six arameers unchanged. Examle is used. On he basis of he resuls shown in able, he following observaions can be made.

10 8 G.P. Samana, A. Roy / A Producion Invenory Model wih Deerioraing Iems Table : Sensiiviy analysis Parameer % change % change in % change in % change in C C C C a T I is seen from able ha he soluion is insensiive o changes in he arameers and C 3, while i is considerably sensiive o changes in he arameers C, C,, a and T.

11 G.P. Samana, A. Roy / A Producion Invenory Model wih Deerioraing Iems 9 II. We now sudy he effecs of changes in he values of he arameers, C, C, C 3,, a, and on he oimal oal invenory cos, cycle ime and backlog level by using examle. Table : Sensiiviy analysis Parameer % change %change in T % change in % change in C C C C a I is observed from able ha he soluion is insensiive o changes in he arameer, slighly sensiive o changes in he arameer C 3 while i is considerably sensiive o changes in he arameers C, C,, a and.

12 30 G.P. Samana, A. Roy / A Producion Invenory Model wih Deerioraing Iems Therefore he above sensiiviy analysis indicaes ha sufficien care should be aken o esimae he arameers C, C,, a and T(or ) in marke sudies. 6. CONCLUDING REMARKS In he resen aer, we have deal wih a coninuous roducion conrol invenory model for deerioraing iems wih shorages. I is assumed ha he demand and roducion raes are consan and he disribuion of he ime o deerioraion of an iem follows he exonenial disribuion. This model is alicable for food iems, drugs, harmaceuicals ec. Here we have sudied he srucural roeries of his invenory sysem. The sensiiviy analysis shows ha sufficien care should be aken o esimae he arameers C, C,, a and T (or ) in marke sudies. Acknowledgemen: The auhors would like o hank he referee for helful commens. REFERENCES [] Aggarwal, S.P., A noe on an order-level invenory model for a sysem wih consan rae of deerioraion, Osearch, 5 (978) [] Bahari-Kashani, H., "Relenishmen schedule for deerioraing iems wih ime-roorional demand", Journal of he Oeraional Research Sociey, 40 (989) [3] Cover, R.P., and Phili, G.C., "An EO model for iems wih Weibull disribuion deerioraion", AIIE Transacion, 5 (973) [4] Dave, U., "An order-level invenory model for deerioraing iems wih variable insananeous demand and discree ooruniies for relenishmen", Osearch, 3 (986) [5] Dave, U., and Pael, L.K., "(T,S i ) olicy invenory model for deerioraing iems wih ime roorional demand", Journal of he Oeraional Research Sociey, 3 (98) [6] Deb, M., and Chaudhuri, K.S., "An EO Model for iems wih finie rae of roducion and variable rae of deerioraion", Osearch, 3 (986) [7] Ghare, P.M., and Schrader, G.P., "A model for exonenially decaying invenories", Journal of Indusrial Engineering, 4 (963) [8] Goswami, A., and Chaudhuri, K.S., "An EO model for deerioraing iems wih shorages and a linear rend in demand", Journal of he Oeraional Research Sociey, 4 (99) [9] Goswami, A., and Chaudhuri, K.S., "Variaions of order-level invenory models for deerioraing iems", Inernaional Journal of Producion Economics, 7 (99) -7. [0] Jalan, A.K., and Chaudhuri, K.S., "Srucural roeries of an invenory sysem wih deerioraion and rended demand", Inernaional J. of Sysems Science, 30 (999) [] Mishra, R.B., "Oimum roducion lo-size model for a sysem wih deerioraing invenory", Inernaional Journal of Producion Research, 3 (975) [] Nahmias, S., "Perishable invenory heory: A review", Oeraions Research, 30 (98) [3] Phili,G.C., "A generalized EO model for iems wih Weibull disribuion deerioraion", AIIE Transacion, 6 (974) [4] Rafaa, F., "Survey of lieraure on coninuously deerioraing invenory model", Journal of he Oeraional Research Sociey, 4 (99) [5] Shah, Y.K., and Jaiswal, M.C., "An order-level invenory model for a sysem wih consan rae of deerioraion", Osearch, 4 (977) [6] Whiin, T.M., Theory of Invenory Managemen, Princeon Universiy Press, Princeon, NJ, 957.

DETERMINISTIC INVENTORY MODEL FOR ITEMS WITH TIME VARYING DEMAND, WEIBULL DISTRIBUTION DETERIORATION AND SHORTAGES KUN-SHAN WU

DETERMINISTIC INVENTORY MODEL FOR ITEMS WITH TIME VARYING DEMAND, WEIBULL DISTRIBUTION DETERIORATION AND SHORTAGES KUN-SHAN WU Yugoslav Journal of Operaions Research 2 (22), Number, 6-7 DEERMINISIC INVENORY MODEL FOR IEMS WIH IME VARYING DEMAND, WEIBULL DISRIBUION DEERIORAION AND SHORAGES KUN-SHAN WU Deparmen of Bussines Adminisraion

More information

An Optimal Control Approach to Inventory-Production Systems with Weibull Distributed Deterioration

An Optimal Control Approach to Inventory-Production Systems with Weibull Distributed Deterioration Journal of Mahemaics and Saisics 5 (3):6-4, 9 ISSN 549-3644 9 Science Publicaions An Opimal Conrol Approach o Invenory-Producion Sysems wih Weibull Disribued Deerioraion Md. Aiul Baen and Anon Abdulbasah

More information

PRESSURE BUILDUP. Figure 1: Schematic of an ideal buildup test

PRESSURE BUILDUP. Figure 1: Schematic of an ideal buildup test Tom Aage Jelmer NTNU Dearmen of Peroleum Engineering and Alied Geohysics PRESSURE BUILDUP I is difficul o kee he rae consan in a roducing well. This is no an issue in a buildu es since he well is closed.

More information

International Journal of Supply and Operations Management

International Journal of Supply and Operations Management Inernaional Journal of Supply and Operaions Managemen IJSOM May 05, Volume, Issue, pp 5-547 ISSN-Prin: 8-59 ISSN-Online: 8-55 wwwijsomcom An EPQ Model wih Increasing Demand and Demand Dependen Producion

More information

THE PRESSURE DERIVATIVE

THE PRESSURE DERIVATIVE Tom Aage Jelmer NTNU Dearmen of Peroleum Engineering and Alied Geohysics THE PRESSURE DERIVATIVE The ressure derivaive has imoran diagnosic roeries. I is also imoran for making ye curve analysis more reliable.

More information

MTH6121 Introduction to Mathematical Finance Lesson 5

MTH6121 Introduction to Mathematical Finance Lesson 5 26 MTH6121 Inroducion o Mahemaical Finance Lesson 5 Conens 2.3 Brownian moion wih drif........................... 27 2.4 Geomeric Brownian moion........................... 28 2.5 Convergence of random

More information

Chapter 7. Response of First-Order RL and RC Circuits

Chapter 7. Response of First-Order RL and RC Circuits Chaper 7. esponse of Firs-Order L and C Circuis 7.1. The Naural esponse of an L Circui 7.2. The Naural esponse of an C Circui 7.3. The ep esponse of L and C Circuis 7.4. A General oluion for ep and Naural

More information

OPTIMIZING PRODUCTION POLICIES FOR FLEXIBLE MANUFACTURING SYSTEM WITH NON-LINEAR HOLDING COST

OPTIMIZING PRODUCTION POLICIES FOR FLEXIBLE MANUFACTURING SYSTEM WITH NON-LINEAR HOLDING COST OPIMIZING PRODUCION POLICIE FOR FLEXIBLE MANUFACURING YEM WIH NON-LINEAR HOLDING CO ABRAC Leena Praher, Reearch cholar, Banahali Vidayaeeh (Raj.) Dr. hivraj Pundir, Reader, D. N. College, Meeru (UP) hi

More information

Behavior Analysis of a Biscuit Making Plant using Markov Regenerative Modeling

Behavior Analysis of a Biscuit Making Plant using Markov Regenerative Modeling Behavior Analysis of a Biscui Making lan using Markov Regeneraive Modeling arvinder Singh & Aul oyal Deparmen of Mechanical Engineering, Lala Lajpa Rai Insiue of Engineering & Technology, Moga -, India

More information

Capacitors and inductors

Capacitors and inductors Capaciors and inducors We coninue wih our analysis of linear circuis by inroducing wo new passive and linear elemens: he capacior and he inducor. All he mehods developed so far for he analysis of linear

More information

Economics Honors Exam 2008 Solutions Question 5

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

More information

Name: Algebra II Review for Quiz #13 Exponential and Logarithmic Functions including Modeling

Name: Algebra II Review for Quiz #13 Exponential and Logarithmic Functions including Modeling Name: Algebra II Review for Quiz #13 Exponenial and Logarihmic Funcions including Modeling TOPICS: -Solving Exponenial Equaions (The Mehod of Common Bases) -Solving Exponenial Equaions (Using Logarihms)

More information

RISK-BASED REPLACEMENT STRATEGIES FOR REDUNDANT DETERIORATING REINFORCED CONCRETE PIPE NETWORKS

RISK-BASED REPLACEMENT STRATEGIES FOR REDUNDANT DETERIORATING REINFORCED CONCRETE PIPE NETWORKS RISK-BASED REPLACEMENT STRATEGIES FOR REDUNDANT DETERIORATING REINFORCED CONCRETE PIPE NETWORKS Bryan Adey, Olivier Bernard 2 and Bruno Gerard 2 Division of Mainenance and Safey, Faculy of Archiecure,

More information

Strategic Optimization of a Transportation Distribution Network

Strategic Optimization of a Transportation Distribution Network Sraegic Opimizaion of a Transporaion Disribuion Nework K. John Sophabmixay, Sco J. Mason, Manuel D. Rossei Deparmen of Indusrial Engineering Universiy of Arkansas 4207 Bell Engineering Cener Fayeeville,

More information

Full-wave rectification, bulk capacitor calculations Chris Basso January 2009

Full-wave rectification, bulk capacitor calculations Chris Basso January 2009 ull-wave recificaion, bulk capacior calculaions Chris Basso January 9 This shor paper shows how o calculae he bulk capacior value based on ripple specificaions and evaluae he rms curren ha crosses i. oal

More information

An Approach for Project Scheduling Using PERT/CPM and Petri Nets (PNs) Tools

An Approach for Project Scheduling Using PERT/CPM and Petri Nets (PNs) Tools Inernaional Journal of Modern Engineering Research (IJMER) Vol., Issue. 5, Se - Oc. 2-2-2 ISSN: 229-5 n roach for Projec Scheduling Using PERT/CPM and Peri Nes (PNs) Tools mer. M. oushaala (Dearmen of

More information

Differential Equations. Solving for Impulse Response. Linear systems are often described using differential equations.

Differential Equations. Solving for Impulse Response. Linear systems are often described using differential equations. Differenial Equaions Linear sysems are ofen described using differenial equaions. For example: d 2 y d 2 + 5dy + 6y f() d where f() is he inpu o he sysem and y() is he oupu. We know how o solve for y given

More information

A Note on Using the Svensson procedure to estimate the risk free rate in corporate valuation

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

More information

Chapter 8: Regression with Lagged Explanatory Variables

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

More information

CALCULATION OF OMX TALLINN

CALCULATION OF OMX TALLINN CALCULATION OF OMX TALLINN CALCULATION OF OMX TALLINN 1. OMX Tallinn index...3 2. Terms in use...3 3. Comuaion rules of OMX Tallinn...3 3.1. Oening, real-ime and closing value of he Index...3 3.2. Index

More information

A Probability Density Function for Google s stocks

A Probability Density Function for Google s stocks A Probabiliy Densiy Funcion for Google s socks V.Dorobanu Physics Deparmen, Poliehnica Universiy of Timisoara, Romania Absrac. I is an approach o inroduce he Fokker Planck equaion as an ineresing naural

More information

Sensor Network with Multiple Mobile Access Points

Sensor Network with Multiple Mobile Access Points Sensor Newor wih Mulile Mobile Access Poins Parvahinahan Veniasubramaniam, Qing Zhao and Lang Tong School of Elecrical and Comuer Engineering Cornell Universiy, Ihaca, NY 4853, USA Email: v45@cornell.edu,{qzhao,long}@ece.cornell.edu

More information

Morningstar Investor Return

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

More information

Cointegration: The Engle and Granger approach

Cointegration: The Engle and Granger approach Coinegraion: The Engle and Granger approach Inroducion Generally one would find mos of he economic variables o be non-saionary I(1) variables. Hence, any equilibrium heories ha involve hese variables require

More information

Single-machine Scheduling with Periodic Maintenance and both Preemptive and. Non-preemptive jobs in Remanufacturing System 1

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

More information

Investigation of Viaduct Movements during Train Pass Using GPS Technique

Investigation of Viaduct Movements during Train Pass Using GPS Technique 53 Invesigaion of Viaduc Movemens during Train Pass Using GP Technique Rzeeca. Cellmer. and Raisi J. Insiue of Geodesy Universiy of Warmia and Mazury in Olszyn Poland E-mail: jace.rainsi@gmail.com Absrac

More information

Individual Health Insurance April 30, 2008 Pages 167-170

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

More information

WHAT ARE OPTION CONTRACTS?

WHAT ARE OPTION CONTRACTS? WHAT ARE OTION CONTRACTS? By rof. Ashok anekar An oion conrac is a derivaive which gives he righ o he holder of he conrac o do 'Somehing' bu wihou he obligaion o do ha 'Somehing'. The 'Somehing' can be

More information

Optimal Real-Time Scheduling for Hybrid Energy Storage Systems and Wind Farms Based on Model Predictive Control

Optimal Real-Time Scheduling for Hybrid Energy Storage Systems and Wind Farms Based on Model Predictive Control Energies 2015, 8, 8020-8051; doi:10.3390/en8088020 Aricle OPEN ACCESS energies ISSN 1996-1073 www.mdi.com/journal/energies Oimal Real-Time Scheduling for Hybrid Energy Sorage Sysems and Wind Farms Based

More information

11/6/2013. Chapter 14: Dynamic AD-AS. Introduction. Introduction. Keeping track of time. The model s elements

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

More information

cooking trajectory boiling water B (t) microwave 0 2 4 6 8 101214161820 time t (mins)

cooking trajectory boiling water B (t) microwave 0 2 4 6 8 101214161820 time t (mins) Alligaor egg wih calculus We have a large alligaor egg jus ou of he fridge (1 ) which we need o hea o 9. Now here are wo accepable mehods for heaing alligaor eggs, one is o immerse hem in boiling waer

More information

Chapter 2 Kinematics in One Dimension

Chapter 2 Kinematics in One Dimension Chaper Kinemaics in One Dimension Chaper DESCRIBING MOTION:KINEMATICS IN ONE DIMENSION PREVIEW Kinemaics is he sudy of how hings moe how far (disance and displacemen), how fas (speed and elociy), and how

More information

Lecture 2: Telegrapher Equations For Transmission Lines. Power Flow.

Lecture 2: Telegrapher Equations For Transmission Lines. Power Flow. Whies, EE 481 Lecure 2 Page 1 of 13 Lecure 2: Telegraher Equaions For Transmission Lines. Power Flow. Microsri is one mehod for making elecrical connecions in a microwae circui. I is consruced wih a ground

More information

APPLICATION OF Q-MEASURE IN A REAL TIME FUZZY SYSTEM FOR MANAGING FINANCIAL ASSETS

APPLICATION OF Q-MEASURE IN A REAL TIME FUZZY SYSTEM FOR MANAGING FINANCIAL ASSETS Inernaional Journal on Sof Comuing (IJSC) Vol.3, No.4, November 202 APPLICATION OF Q-MEASURE IN A REAL TIME FUZZY SYSTEM FOR MANAGING FINANCIAL ASSETS Penka Georgieva and Ivan Pochev 2 Burgas Free Universiy,

More information

NETWORK TRAFFIC MODELING AND PREDICTION USING MULTIPLICATIVE SEASONAL ARIMA MODELS

NETWORK TRAFFIC MODELING AND PREDICTION USING MULTIPLICATIVE SEASONAL ARIMA MODELS 1s Inernaional Conference on Exerimens/Process/Sysem Modeling/Simulaion/Oimizaion 1s IC-EsMsO Ahens, 6-9 July, 2005 IC-EsMsO NETWORK TRAFFIC MODELING AND PREDICTION USING MULTIPLICATIVE SEASONAL ARIMA

More information

DYNAMIC MODELS FOR VALUATION OF WRONGFUL DEATH PAYMENTS

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

More information

AP Calculus BC 2010 Scoring Guidelines

AP Calculus BC 2010 Scoring Guidelines AP Calculus BC Scoring Guidelines The College Board The College Board is a no-for-profi membership associaion whose mission is o connec sudens o college success and opporuniy. Founded in, he College Board

More information

Random Walk in 1-D. 3 possible paths x vs n. -5 For our random walk, we assume the probabilities p,q do not depend on time (n) - stationary

Random Walk in 1-D. 3 possible paths x vs n. -5 For our random walk, we assume the probabilities p,q do not depend on time (n) - stationary Random Walk in -D Random walks appear in many cones: diffusion is a random walk process undersanding buffering, waiing imes, queuing more generally he heory of sochasic processes gambling choosing he bes

More information

METHOD FOR EVALUATING THE THROUGHPUT PERFORMANCE OF SHUTTLE BASED STORAGE AND RETRIEVAL SYSTEMS

METHOD FOR EVALUATING THE THROUGHPUT PERFORMANCE OF SHUTTLE BASED STORAGE AND RETRIEVAL SYSTEMS . Lerher i dr. Meoda za rocjenu roočne erformance auomaiziranih skladišnih susava s vozilima ISSN 1330-3651 (Prin), ISSN 1848-6339 (Online) DOI: 10.17559/V-0141011007 MEHOD FOR EVALUAING HE HROUGHPU PERFORMANCE

More information

RC (Resistor-Capacitor) Circuits. AP Physics C

RC (Resistor-Capacitor) Circuits. AP Physics C (Resisor-Capacior Circuis AP Physics C Circui Iniial Condiions An circui is one where you have a capacior and resisor in he same circui. Suppose we have he following circui: Iniially, he capacior is UNCHARGED

More information

PROFIT TEST MODELLING IN LIFE ASSURANCE USING SPREADSHEETS PART ONE

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

More information

Appendix D Flexibility Factor/Margin of Choice Desktop Research

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

More information

Statistical Analysis with Little s Law. Supplementary Material: More on the Call Center Data. by Song-Hee Kim and Ward Whitt

Statistical Analysis with Little s Law. Supplementary Material: More on the Call Center Data. by Song-Hee Kim and Ward Whitt Saisical Analysis wih Lile s Law Supplemenary Maerial: More on he Call Cener Daa by Song-Hee Kim and Ward Whi Deparmen of Indusrial Engineering and Operaions Research Columbia Universiy, New York, NY 17-99

More information

Relationships between Stock Prices and Accounting Information: A Review of the Residual Income and Ohlson Models. Scott Pirie* and Malcolm Smith**

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

More information

Mathematics in Pharmacokinetics What and Why (A second attempt to make it clearer)

Mathematics in Pharmacokinetics What and Why (A second attempt to make it clearer) Mahemaics in Pharmacokineics Wha and Why (A second aemp o make i clearer) We have used equaions for concenraion () as a funcion of ime (). We will coninue o use hese equaions since he plasma concenraions

More information

Model of an Integrated Procurement-Production System for Food Products Incorporating Quality Loss during Storage Time

Model of an Integrated Procurement-Production System for Food Products Incorporating Quality Loss during Storage Time Model of an Inegraed rocuremen-roducion Sysem for Food roducs Incorporaing Qualiy Loss during Sorage ime Gusi Fauza, Yousef Amer, and Sang-Heon Lee Absrac Research on procuremen-producion sysems for deerioraing

More information

In-store replenishment procedures for perishable inventory in a retail environment with handling costs and storage constraints

In-store replenishment procedures for perishable inventory in a retail environment with handling costs and storage constraints In-sore replenishmen procedures for perishable invenory in a reail environmen wih handling coss and sorage consrains R A.C.M. Broekmeulen* and C.H.M. Bakx School of Indusrial Engineering Technische Universiei

More information

4. International Parity Conditions

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

More information

CHARGE AND DISCHARGE OF A CAPACITOR

CHARGE AND DISCHARGE OF A CAPACITOR REFERENCES RC Circuis: Elecrical Insrumens: Mos Inroducory Physics exs (e.g. A. Halliday and Resnick, Physics ; M. Sernheim and J. Kane, General Physics.) This Laboraory Manual: Commonly Used Insrumens:

More information

Analysis of Tailored Base-Surge Policies in Dual Sourcing Inventory Systems

Analysis of Tailored Base-Surge Policies in Dual Sourcing Inventory Systems Analysis of Tailored Base-Surge Policies in Dual Sourcing Invenory Sysems Ganesh Janakiraman, 1 Sridhar Seshadri, 2, Anshul Sheopuri. 3 Absrac We sudy a model of a firm managing is invenory of a single

More information

2.2 Time Series Analysis 2.2.1 Preliminaries 2.2.2 Various Types of Stochastic Processes 2.2.3 Parameters of Univariate and Bivariate Time Series

2.2 Time Series Analysis 2.2.1 Preliminaries 2.2.2 Various Types of Stochastic Processes 2.2.3 Parameters of Univariate and Bivariate Time Series . Time Series Analysis.. Preliminaries.. Various Tyes of Sochasic Processes..3 Parameers of Univariae and Bivariae Time Series..4 Esimaing Covariance Funcions and Secra . Time Series Analysis The cenral

More information

SURVEYING THE RELATIONSHIP BETWEEN STOCK MARKET MAKER AND LIQUIDITY IN TEHRAN STOCK EXCHANGE COMPANIES

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,

More information

As widely accepted performance measures in supply chain management practice, frequency-based service

As widely accepted performance measures in supply chain management practice, frequency-based service MANUFACTURING & SERVICE OPERATIONS MANAGEMENT Vol. 6, No., Winer 2004, pp. 53 72 issn 523-464 eissn 526-5498 04 060 0053 informs doi 0.287/msom.030.0029 2004 INFORMS On Measuring Supplier Performance Under

More information

Niche Market or Mass Market?

Niche Market or Mass Market? Niche Marke or Mass Marke? Maxim Ivanov y McMaser Universiy July 2009 Absrac The de niion of a niche or a mass marke is based on he ranking of wo variables: he monopoly price and he produc mean value.

More information

Transient Analysis of First Order RC and RL circuits

Transient Analysis of First Order RC and RL circuits Transien Analysis of Firs Order and iruis The irui shown on Figure 1 wih he swih open is haraerized by a pariular operaing ondiion. Sine he swih is open, no urren flows in he irui (i=0) and v=0. The volage

More information

The effect of demand distributions on the performance of inventory policies

The effect of demand distributions on the performance of inventory policies DOI 10.2195/LJ_Ref_Kuhn_en_200907 The effec of demand disribuions on he performance of invenory policies SONJA KUHNT & WIEBKE SIEBEN FAKULTÄT STATISTIK TECHNISCHE UNIVERSITÄT DORTMUND 44221 DORTMUND Invenory

More information

Deployment Method for Real-Time Wireless Network Optimizer in CDMA Network

Deployment Method for Real-Time Wireless Network Optimizer in CDMA Network Deloymen Mehod for Real-Time Wireless Nework Oimizer in CDMA Nework Chi-Young Rhee, ang-jin Park, Yong-Hee Lee, Bum Kwon, and Jae-Hwang Yu Nework Engineering Develomen Team Nework R&D Cener, K Telecom

More information

Chapter 8 Student Lecture Notes 8-1

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

More information

Why Did the Demand for Cash Decrease Recently in Korea?

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

More information

Signal Rectification

Signal Rectification 9/3/25 Signal Recificaion.doc / Signal Recificaion n imporan applicaion of juncion diodes is signal recificaion. here are wo ypes of signal recifiers, half-wae and fullwae. Le s firs consider he ideal

More information

DOES TRADING VOLUME INFLUENCE GARCH EFFECTS? SOME EVIDENCE FROM THE GREEK MARKET WITH SPECIAL REFERENCE TO BANKING SECTOR

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

More information

Steps for D.C Analysis of MOSFET Circuits

Steps for D.C Analysis of MOSFET Circuits 10/22/2004 Seps for DC Analysis of MOSFET Circuis.doc 1/7 Seps for D.C Analysis of MOSFET Circuis To analyze MOSFET circui wih D.C. sources, we mus follow hese five seps: 1. ASSUME an operaing mode 2.

More information

Diagnostic Examination

Diagnostic Examination Diagnosic Examinaion TOPIC XV: ENGINEERING ECONOMICS TIME LIMIT: 45 MINUTES 1. Approximaely how many years will i ake o double an invesmen a a 6% effecive annual rae? (A) 10 yr (B) 12 yr (C) 15 yr (D)

More information

How To Calculate Price Elasiciy Per Capia Per Capi

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

More information

Vector Autoregressions (VARs): Operational Perspectives

Vector Autoregressions (VARs): Operational Perspectives Vecor Auoregressions (VARs): Operaional Perspecives Primary Source: Sock, James H., and Mark W. Wason, Vecor Auoregressions, Journal of Economic Perspecives, Vol. 15 No. 4 (Fall 2001), 101-115. Macroeconomericians

More information

The Application of Multi Shifts and Break Windows in Employees Scheduling

The Application of Multi Shifts and Break Windows in Employees Scheduling The Applicaion of Muli Shifs and Brea Windows in Employees Scheduling Evy Herowai Indusrial Engineering Deparmen, Universiy of Surabaya, Indonesia Absrac. One mehod for increasing company s performance

More information

Supply Chain Production Inventory Model: Innovative Study for Shortages Allowed With Partial Backlogging

Supply Chain Production Inventory Model: Innovative Study for Shortages Allowed With Partial Backlogging Inernaional Journal of odern Engineering Research (IJER Vol., Issue. 5, Sep.-Oc. pp-36-369 ISS: 9-665 Supply Chain Producion Inenory odel: Innoaie Sudy for Shorages Allowed Wih Parial Backlogging Jasinder

More information

policies are investigated through the entire product life cycle of a remanufacturable product. Benefiting from the MDP analysis, the optimal or

policies are investigated through the entire product life cycle of a remanufacturable product. Benefiting from the MDP analysis, the optimal or ABSTRACT AHISKA, SEMRA SEBNEM. Invenory Opimizaion in a One Produc Recoverable Manufacuring Sysem. (Under he direcion of Dr. Russell E. King and Dr. Thom J. Hodgson.) Environmenal regulaions or he necessiy

More information

9. Capacitor and Resistor Circuits

9. Capacitor and Resistor Circuits ElecronicsLab9.nb 1 9. Capacior and Resisor Circuis Inroducion hus far we have consider resisors in various combinaions wih a power supply or baery which provide a consan volage source or direc curren

More information

The Experts In Actuarial Career Advancement. Product Preview. For More Information: email Support@ActexMadRiver.com or call 1(800) 282-2839

The Experts In Actuarial Career Advancement. Product Preview. For More Information: email Support@ActexMadRiver.com or call 1(800) 282-2839 P U B L I C A T I O N S The Eers In Acuarial Career Advancemen Produc Preview For More Informaion: email Suor@AceMadRiver.com or call (8) 8-839 Preface P- Conens Preface P-7 Syllabus Reference P- Flow

More information

AP Calculus AB 2013 Scoring Guidelines

AP Calculus AB 2013 Scoring Guidelines AP Calculus AB 1 Scoring Guidelines The College Board The College Board is a mission-driven no-for-profi organizaion ha connecs sudens o college success and opporuniy. Founded in 19, he College Board was

More information

Communication Networks II Contents

Communication Networks II Contents 3 / 1 -- Communicaion Neworks II (Görg) -- www.comnes.uni-bremen.de Communicaion Neworks II Conens 1 Fundamenals of probabiliy heory 2 Traffic in communicaion neworks 3 Sochasic & Markovian Processes (SP

More information

Market Liquidity and the Impacts of the Computerized Trading System: Evidence from the Stock Exchange of Thailand

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,

More information

Stochastic Optimal Control Problem for Life Insurance

Stochastic Optimal Control Problem for Life Insurance Sochasic Opimal Conrol Problem for Life Insurance s. Basukh 1, D. Nyamsuren 2 1 Deparmen of Economics and Economerics, Insiue of Finance and Economics, Ulaanbaaar, Mongolia 2 School of Mahemaics, Mongolian

More information

Contrarian insider trading and earnings management around seasoned equity offerings; SEOs

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

More information

The naive method discussed in Lecture 1 uses the most recent observations to forecast future values. That is, Y ˆ t + 1

The naive method discussed in Lecture 1 uses the most recent observations to forecast future values. That is, Y ˆ t + 1 Business Condiions & Forecasing Exponenial Smoohing LECTURE 2 MOVING AVERAGES AND EXPONENTIAL SMOOTHING OVERVIEW This lecure inroduces ime-series smoohing forecasing mehods. Various models are discussed,

More information

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.

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

More information

Stability analysis of constrained inventory systems with transportation delay

Stability analysis of constrained inventory systems with transportation delay Sabiliy analysis of consrained invenory sysems wih ransoraion delay Xun Wang a,*, Sehen M. Disney b, Jing Wang a a School of Economics and Managemen, BeiHang Universiy, Beijing, 009, China b Logisic Sysems

More information

A Re-examination of the Joint Mortality Functions

A Re-examination of the Joint Mortality Functions Norh merican cuarial Journal Volume 6, Number 1, p.166-170 (2002) Re-eaminaion of he Join Morali Funcions bsrac. Heekung Youn, rkad Shemakin, Edwin Herman Universi of S. Thomas, Sain Paul, MN, US Morali

More information

The Kinetics of the Stock Markets

The Kinetics of the Stock Markets Asia Pacific Managemen Review (00) 7(1), 1-4 The Kineics of he Sock Markes Hsinan Hsu * and Bin-Juin Lin ** (received July 001; revision received Ocober 001;acceped November 001) This paper applies he

More information

Stability. Coefficients may change over time. Evolution of the economy Policy changes

Stability. Coefficients may change over time. Evolution of the economy Policy changes Sabiliy Coefficiens may change over ime Evoluion of he economy Policy changes Time Varying Parameers y = α + x β + Coefficiens depend on he ime period If he coefficiens vary randomly and are unpredicable,

More information

Inductance and Transient Circuits

Inductance and Transient Circuits Chaper H Inducance and Transien Circuis Blinn College - Physics 2426 - Terry Honan As a consequence of Faraday's law a changing curren hrough one coil induces an EMF in anoher coil; his is known as muual

More information

Conceptually calculating what a 110 OTM call option should be worth if the present price of the stock is 100...

Conceptually calculating what a 110 OTM call option should be worth if the present price of the stock is 100... Normal (Gaussian) Disribuion Probabiliy De ensiy 0.5 0. 0.5 0. 0.05 0. 0.9 0.8 0.7 0.6? 0.5 0.4 0.3 0. 0. 0 3.6 5. 6.8 8.4 0.6 3. 4.8 6.4 8 The Black-Scholes Shl Ml Moel... pricing opions an calculaing

More information

Dependent Interest and Transition Rates in Life Insurance

Dependent Interest and Transition Rates in Life Insurance Dependen Ineres and ransiion Raes in Life Insurance Krisian Buchard Universiy of Copenhagen and PFA Pension January 28, 2013 Absrac In order o find marke consisen bes esimaes of life insurance liabiliies

More information

SPEC model selection algorithm for ARCH models: an options pricing evaluation framework

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,

More information

Chapter 5. Aggregate Planning

Chapter 5. Aggregate Planning Chaper 5 Aggregae Planning Supply Chain Planning Marix procuremen producion disribuion sales longerm Sraegic Nework Planning miderm shorerm Maerial Requiremens Planning Maser Planning Producion Planning

More information

Forecasting, Ordering and Stock- Holding for Erratic Demand

Forecasting, Ordering and Stock- Holding for Erratic Demand ISF 2002 23 rd o 26 h June 2002 Forecasing, Ordering and Sock- Holding for Erraic Demand Andrew Eaves Lancaser Universiy / Andalus Soluions Limied Inroducion Erraic and slow-moving demand Demand classificaion

More information

Option Pricing Under Stochastic Interest Rates

Option Pricing Under Stochastic Interest Rates I.J. Engineering and Manufacuring, 0,3, 8-89 ublished Online June 0 in MECS (hp://www.mecs-press.ne) DOI: 0.585/ijem.0.03. Available online a hp://www.mecs-press.ne/ijem Opion ricing Under Sochasic Ineres

More information

Appendix A: Area. 1 Find the radius of a circle that has circumference 12 inches.

Appendix A: Area. 1 Find the radius of a circle that has circumference 12 inches. Appendi A: Area worked-ou s o Odd-Numbered Eercises Do no read hese worked-ou s before aemping o do he eercises ourself. Oherwise ou ma mimic he echniques shown here wihou undersanding he ideas. Bes wa

More information

17 Laplace transform. Solving linear ODE with piecewise continuous right hand sides

17 Laplace transform. Solving linear ODE with piecewise continuous right hand sides 7 Laplace ransform. Solving linear ODE wih piecewise coninuous righ hand sides In his lecure I will show how o apply he Laplace ransform o he ODE Ly = f wih piecewise coninuous f. Definiion. A funcion

More information

Journal Of Business & Economics Research September 2005 Volume 3, Number 9

Journal Of Business & Economics Research September 2005 Volume 3, Number 9 Opion Pricing And Mone Carlo Simulaions George M. Jabbour, (Email: jabbour@gwu.edu), George Washingon Universiy Yi-Kang Liu, (yikang@gwu.edu), George Washingon Universiy ABSTRACT The advanage of Mone Carlo

More information

Newton s Laws of Motion

Newton s Laws of Motion Newon s Laws of Moion MS4414 Theoreical Mechanics Firs Law velociy. In he absence of exernal forces, a body moves in a sraigh line wih consan F = 0 = v = cons. Khan Academy Newon I. Second Law body. The

More information

Trends in TCP/IP Retransmissions and Resets

Trends in TCP/IP Retransmissions and Resets Trends in TCP/IP Reransmissions and Reses Absrac Concordia Chen, Mrunal Mangrulkar, Naomi Ramos, and Mahaswea Sarkar {cychen, mkulkarn, msarkar,naramos}@cs.ucsd.edu As he Inerne grows larger, measuring

More information

Distance to default. Credit derivatives provide synthetic protection against bond and loan ( ( )) ( ) Strap? l Cutting edge

Distance to default. Credit derivatives provide synthetic protection against bond and loan ( ( )) ( ) Strap? l Cutting edge Srap? l Cuing edge Disance o defaul Marco Avellaneda and Jingyi Zhu Credi derivaives provide synheic proecion agains bond and loan defauls. A simple example of a credi derivaive is he credi defaul swap,

More information

Forecasting Sales: A Model and Some Evidence from the Retail Industry. Russell Lundholm Sarah McVay Taylor Randall

Forecasting Sales: A Model and Some Evidence from the Retail Industry. Russell Lundholm Sarah McVay Taylor Randall Forecasing Sales: A odel and Some Evidence from he eail Indusry ussell Lundholm Sarah cvay aylor andall Why forecas financial saemens? Seems obvious, bu wo common criicisms: Who cares, can we can look

More information

Equities: Positions and Portfolio Returns

Equities: Positions and Portfolio Returns Foundaions of Finance: Equiies: osiions and orfolio Reurns rof. Alex Shapiro Lecure oes 4b Equiies: osiions and orfolio Reurns I. Readings and Suggesed racice roblems II. Sock Transacions Involving Credi

More information

Term Structure of Prices of Asian Options

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:

More information

Analysis of tax effects on consolidated household/government debts of a nation in a monetary union under classical dichotomy

Analysis of tax effects on consolidated household/government debts of a nation in a monetary union under classical dichotomy MPRA Munich Personal RePEc Archive Analysis of ax effecs on consolidaed household/governmen debs of a naion in a moneary union under classical dichoomy Minseong Kim 8 April 016 Online a hps://mpra.ub.uni-muenchen.de/71016/

More information

The Transport Equation

The Transport Equation The Transpor Equaion Consider a fluid, flowing wih velociy, V, in a hin sraigh ube whose cross secion will be denoed by A. Suppose he fluid conains a conaminan whose concenraion a posiion a ime will be

More information