ENGINEERING AND HEDGING OF CORRIDOR PRODUCTS  with focus on FX linked instruments 


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1 AARHUS SCHOOL OF BUSINESS AARHUS UNIVERSITY MASTER THESIS ENGINEERING AND HEDGING OF CORRIDOR PRODUCTS  with focus on FX linked instruments  AUTHORS: DANIELA ZABRE GEORGE RARES RADU SIMIAN SUPERVISOR: JOCHEN DORN SEPTEMBER 2010
2 Table of Contents 1 Introduction Problem statement Methodology Data Delimitations Notations Digital/Binary options General description of digital cashornothing options Payoff of digital options Pricing of European digital options Barrier options General description of barrier options Payoff of European barrier options Pricing barrier options Binary barrier options General description of binary barrier options Payoff of binary barrier options Pricing binary barrier options General description of corridor products General characteristics of corridor products Types of corridors Motivation for issuance of and investment in corridor products Miscellaneous corridor products Digital ranges General description Replication Valuation of digital ranges Barrier ranges General description I
3 6.2.2 Replication of barrier ranges Valuation of barrier ranges Hedging aspects Dynamic hedging approach Digital ranges Barrier ranges Static hedging Static hedging of digitals Static hedging of binary barrier options Static hedging of digital ranges Static hedging of barrier ranges Conclusion and recommendations BIBLIOGRAPHY II
4 List of tables Table 1: Payoff of binary barrier options Table 2: Example of a FX digital range Table 3: Valuation at time zero for the digital range presented in Table Table 4: Example of a FX barrier range Table 5: Replicating portfolio for the coupon part of a barrier range Table 6: Valuation at time zero for the barrier range presented in Table List of figures Figure 1: Payoff digital call... 8 Figure 2: Payoff digital put... 9 Figure 3: Digital range  payoff corresponding to a fixing date Figure 4: Digital range value evolution across the product s lifetime Figure 5: Relationship between the maximum and minimum interest rates for a digital range Figure 6: Barrier range value evolution across the product s lifetime Figure 7: Relationship between the maximum and minimum interest rates for a barrier range Figure 8: Delta for a digital range Figure 9: Gamma for a digital range: different perspectives Figure 10: Vega for a digital range Figure 11: Rho for a digital range Figure 12: Theta for a digital range Figure 13: Delta for a barrier range Figure 14: Gamma for a barrier range Figure 15: Vega for a barrier range Figure 16: Rho for a barrier range Figure 17: Theta for a barrier range Figure 18: Approximate replication of a digital option with a vertical spread Figure 19: Matching the adjusted payoff function for a downandout binary in two points under the barrier Figure 20: Matching the adjusted payoff function for an upandout binary in two points above the barrier Figure 21: Vega of the digital range derived with respect to... iv Figure 22: Vega of the digital range derived with respect to... iv Figure 23: Summation between Vega of digital range derived with respect to and Vega of digital range derived with respect to... v Figure 24: Vega of digital range derived with respect to and... v III
5 Figure 25: Vega of barrier range derived with respect to... vi Figure 26: Vega of barrier range derived with respect to... vi Figure 27: Summation between Vega of barrier range derived with respect to and Vega of barrier range derived with respect to... vii Figure 28: Vega of barrier range derived with respect to and... vii Figure 29: Graphical representation of the adjusted payoff function of a downandout cashornothing binary option... x Figure 30: Graphical representation of the adjusted payoff function of an upandout cashornothing binary option... xi IV
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7 1 Introduction The market for exotic options has been growing in popularity since its inception and so did the research in this area. Subsequent developments in financial engineering made it possible to include exotic options in more complex structures designed for investors with specific risk profiles. This thesis will focus on only one class from the wide variety of structured products available on the market, namely corridor products. These are maybe among the most attractive and most heavily traded instruments, next to structures with embedded barrier options. Corridor products offer investors the possibility of earning a coupon whose magnitude depends on a certain underlying price staying within a predefined range. These kinds of products are suitable for those investors who expect stability in the market through the lifetime of the corridor type instrument they invest in. If their expectations are met, the return on their investment is considerably higher compared to alternatives such as direct investment in bank deposits or bonds. As with all structured products, corridor type instruments are conceived starting from simpler parts, and therefore, a logical approach to be used for valuation and hedging purposes is to separate the individual components and analyze them one by one. Corridor products are most often designed as combinations of digital, barrier or binary barrier options, reason for which this paper will first analyze such basic components before dealing with our products of interest. 1.1 Problem statement The purpose of this paper is to analyze two types of corridor products, which are most popular in the literature on the subject matter as well as mostly used by practitioners. Our 1
8 approach will be focused on developing valuation formulae, analyzing the sensitivity parameters and proposing different hedging strategies. The central idea from which the authors of this paper began their research was to employ options such as digitals, binary barriers and barriers in the valuation and the hedging processes of the products of interest. Two different products will be studied, each of them bearing interesting features. The first corridor product a digital range is a deposit which brings its owner an enhanced return for those days when the underlying price remains within certain limits. While the interest rate earned in those days when the reference rate is within the barriers is accrued in the case of a digital range, for barrier ranges our second product the mentioned condition needs to be fulfilled for the entire lifetime of the product in order to bring a satisfactory payoff. The objective of the thesis is to provide closed form solutions for pricing digital and barrier ranges. Further on, the sensitivity of the products value to several parameters will be analyzed and alternative hedging approaches will be investigated. 1.2 Methodology The paper is divided into two main blocks: the first one will look at valuation issues, while the second will focus on hedging aspects. The first steps will consist in finding closedform valuation formulae for digital options, barrier options and binary barrier options in the BlackScholes framework (see Appendix A for the assumptions). Chapters 2, 3 and 4 introduce the main features of the aforementioned options and lay the foundation for the theoretical understanding of the structure and behavior of corridor type products. The general description of corridors as well as the reasoning behind their usage is presented in Chapter 5. In Chapter 6, we will use the previously obtained results as building blocks for elaborating the valuation formulae for digital and barrier ranges. Having found the closed form solutions, we will perform simulations based on real market data and a limited number of 2
9 assumptions in order to analyze how the prices of the two corridor products behave across the structures lifetime. While the obtained formulae are valid for a wide range of underlying assets, the given examples are built on the EUR/USD foreign exchange rate. The following chapter will look at the hedging particularities of the two instruments. The analysis in the first section of the chapter will cover the products sensitivity indicators with respect to the BlackScholes parameters and variables (more commonly known as the Greeks ) and their behavior as maturity approaches. The next section explores alternative means for hedging the products, indicating the advantages and shortcomings of different strategies. Simulations were performed in Microsoft Excel, by coding under Visual Basic for Applications (VBA). The results can be found in the file Thesis.xlsx on the enclosed CD. The last chapter provides concluding remarks and recommendations for future research. 1.3 Data The data was obtained from Bloomberg and Thomson Datastream databases. We gathered information regarding the EUR/USD spot exchange rate, the 3month Euribor rate and the 3month TBill rate (which were used as riskfree rate and respectively foreign riskfree rate in the simulations). We extracted the forward curve (with daily compounding) for EUR deposits, which was used for pricing the digital range. We also obtained future implied volatilities as they were estimated at certain dates for call options on the EUR/USD FX rate with exercise prices set at the corridor limits. Further on, based on the market data, a set of realistic assumptions were proposed, such as input values for the upper and lower corridor limits, the maximum and minimum interest rates to be paid out within the structures. 3
10 1.4 Delimitations This paper develops an analytical approach, centered on pricing the instruments using closedform formulae. The background for our analysis is set to be the BlackScholes world. Therefore, our results rely on the classical assumptions of constant volatility and interest rates and are subject to the errors arising from their inconsistency with real world conditions. Further research can be carried on by relaxing some of the assumptions. Furthermore, this thesis is not meant to present corridor products in an exhaustive manner, due to space and time constraints. We chose to shed some light on the issues arising from the pricing and hedging of two main categories which are found in the literature regarding the subject matter: digital ranges and barrier ranges. We focused our attention on these two products, as we were interested in dealing with corridors through the perspective of options such as digitals or barriers. The corridor type instruments cover a wide range of exotic features and the analysis and discussions around the topic could fill the pages of many books. Further delimitations will be considered throughout the paper when appropriate as well as in the Conclusions and recommendations section at the end of the thesis. 1.5 Notations The literature on corridor notes as well as generally the literature of the financial world uses different notations for the same terms/notions. Before continuing with the lecture of this master thesis please take a look at the list of notations we will mainly be using further on (provided below). List of notations: generic notation for a barrier; 4
11 the BlackScholes value of a plain vanilla European call option at time 0; cash or nothing; downandin (used for barrier options and binary barrier options); downandout (used for barrier options and binary barrier options); upper limit of a corridor; K strike price; lower limit of a corridor; number of fixings when the underlying is inside the range during the life of the contract; total number of fixings; the BlackScholes value of a plain vanilla European put option at time 0; operator for the probability under the measure; the continuously compounded riskfree interest rate; the continuously compounded dividend yield; riskneutral probability measure; the price of the underlying asset at time 0 (spot price); the price of the underlying asset at time ; the spot rate of the underlying at time running minimum of the underlying asset up to time ; running maximum of the underlying asset up to time ; the price of the underlying asset at maturity ; running time; time zero for the Digital Range structure; 5
12 running time in the Digital Range structure; expiry date; expiry date for the digital options from the Digital Range structure corresponding to the th fixing date; upandin (used for barrier options and binary barrier options); upandout (used for barrier options and binary barrier options); Visual Basic Application (component of Microsoft Excel software); V(S, t) the value of a contract as a function of the value of the underlying asset S at time t; standard Brownian motion under the probability measure ; fixed amount of cash; a stochastic process describing a Brownian motion with drift and volatility ; the value of a riskless bond at time ; forward rate applicable for the period between and the Digital Range structure s expiry date; zero coupon bond; the continuously compounded true rate of return of the underlying asset; the volatility in the logreturns of the underlying; implied volatility for an option struck at L; implied volatility for an option struck at H; put/call operator: takes the value +1 for a call and 1 for a put; the stopping time; Cumulative Distribution Function for the standard Normal Distribution; 6
13 2 Digital/Binary options 2.1 General description of digital cashornothing options Cashornothing digitals or binaries 1 are options with a discontinuous payoff profile which pay out a fixed amount of cash only if the underlying asset satisfies a predetermined trigger condition but nothing otherwise. 2 Such a condition usually assumes that the underlying trades below/above a certain price level, which is referred to as the strike. Weithers (2006, pg. 209) classifies digital options taking into consideration the moment when they can be exercised. Therefore, there are two main types of digital options: European (at maturity or at expiry binaries) and American (onetouch) options. The European digital call/put pays off if the underlying is traded above/below the strike price at the maturity date. The American digital call/put (also known as onetouch option) pays off once the spot price first rises/falls above/below the strike price during the life of the option. The payoff of a onetouch binary may be due as soon as the trigger condition is satisfied or at expiry (onetouch immediate or onetouch deferred binaries). 3 Another common classification of digital options available in the literature categorizes them as: barrier. One touch: the investor gets the payoff if at any time the price hits the No touch: the payoff of a notouch is paid if the trigger has not been reached by the time the option expires. 4 Double one touch: this option pays off if at any time the price touches any of the barriers of a predetermined range. Double no touch: the buyer gets the payoff if the price does not touch either of the barriers of the predetermined range. 1 Another type of digitals are the assetornothing options, which pay out the price of an underlying, as long as the underlying triggers a certain event (such as reaching a certain price level) during the life of the option. However, we shall only use the cashornothing digitals in the present paper, and, thus, our focus will rely solely on them. 2 SOCIÉTÉ GÉNÉRALE CORPORATE & INVESTMENT BANKING The ABC of equity derivatives and structured products. 3 Ibid. 4 WYSTUP, U FX Options and Structured Products, Chichester, John Wiley & Sons. 7
14 Motivation for usage of digital options There are many ways in which digital options can be used by market participants, depending on the scope followed and their expectations regarding the behavior of the market. Binary options can be bought/sold by investors who are rather interested in speculating over the rising or falling of the underlying. Other investors use them as a hedging strategy enabling the capturing of compensation in case their view on the market is not confirmed. Furthermore, digital options can be found within the composition of different structured products Payoff of digital options The payoff for European digital options is given by: { } where is a fixed amount of cash, {+1, 1} takes the value +1 for a call and 1 for a put option. The payoff of a onetouch (American) option is given by: {} where = inf { 0 }, and {+1, 1} takes the value +1 for a call and 1 for a put. Figure 1: Payoff digital call Source: own contribution. 5 Ibid. 8
15 Figure 2: Payoff digital put Source: own contribution. 2.3 Pricing of European digital options The pricing will be done within the BlackScholes framework. Therefore, we start with the assumption that the underlying asset return follows a lognormal random walk. The standard model for the evolution of stock prices is given by the geometric Brownian motion = + ( 1 ) while a riskless bond follows the deterministic process Which, due to Ito s Lemma, is equivalent to = dt ( 2 ) = e where is a standard Brownian motion under the probability measure 6, is the price at time of the underlying asset, is the continuously compounded riskfree interest rate, is the volatility in the logreturns of the underlying. We assume that = 1. If we consider the riskless bond as the numeraire, then the relative price process is the discounted asset process. Differentiating this process yields: 6 The probability measure represents the true market distribution of the asset. 9
16 = + d ( 3 ) = r dt + In order to switch to the riskneutral world and therefore to be able to price in the Black Scholes framework, one needs to make the transformation from a realworld measure to a riskneutral measure. Using the Girsanov theorem (as shown in Appendix B), the previous equation can be written as = r dt + dt where is a standard Brownian motion under the probability measure (h = + dt). In order to make the process driftless, we choose =. Our discounted price process becomes a martingale under the new riskneutral probability measure, as follows: = ( 4 ) Using equations ( 2 ), ( 3 ) and ( 4 ), we obtain that in a riskneutral world, a nondividend paying underlying is described by the following process: = r dt + For a dividend paying stock 7, the underlying process under the riskneutral measure is defined by: = r q dt + ( 5 ) where is the dividend yield/foreign currency riskfree interest rate. 7 For the remainder of this paper, we will assume that the underlying has a dividend yield different from zero. 10
17 Defining the process = and using Ito s transformation we have: = = r q S = r q 1 2 dt + = r q 1 2 T t + Thus, the price at maturity of the underlying asset is expressed as: = e ( 6 ) We will derive the following results: = d ( 7 ) = d ( 8 ) where is a fixed amount of cash, / denote the price at time t of a cashornothing call or put, and d = ln K is the maturity date and is the strike price. σ + r q 2 T t σ T t Proof: The value of a digital call at time (0 < ) can be expressed as follows: 11
18 = e { } = e { } = e > = e ln > ln = e ln + r q σ 2 T t + σ > ln = e ln T t > K = e T t > + r q σ 2 T t T t Where is the operator for expectation under the probability measure, and is the operator for the probability under the measure. But we know that 0,1 hence: = e d Similarly the value at time for a digital put can be expressed as: = e 1 { } = e 1 { } = e < = e ln < ln = e ln + r q σ 2 T t + σ < ln = e ln T t < K = e T t < + r q σ 2 T t T t Knowing that 0,1 we obtain that: = d 12
19 3 Barrier options 3.1 General description of barrier options Barrier options are weakly pathdependent options (i.e. their value depends on the path that the underlying followed until expiry; however, the only information we need is to know whether the triggering event has occurred or not). They are either terminated or activated if the underlying asset s spot price reaches and crosses a predefined trigger level (barrier). They almost bear the same specifications as a standard option (call or put) such as the strike (exercise) price, the expiration date, settlement features, to which the barrier feature is added. One of their advantages over plain vanilla options is the fact that they command a lower premium. Since the terminology used in relation to these products is still in the process of standardization, we will list below some terms and the meanings with which they will be associated throughout this paper. 8 An in option comes into existence when the barrier level has been crossed, and it is said that the option has knocked in An out option ceases to exist when the barrier level has been crossed, and it is said that the option has knocked out If the barrier level is above the initial value of the underlying asset, we will have up options If the barrier level is below the initial value of the underlying asset, we will have down options The term regular is used for options which have the barrier set in the outofthemoney direction The term reverse is used for options which have the barrier set in the inthemoney direction 8 WILMOTT, P Paul Wilmott on quantitative finance, Chichester: John Wiley & Sons. 13
20 Motivation for usage of barrier options Among the main reasons why barrier options are traded there is the fact that they are cheaper than the corresponding vanilla options. They are also quite simple to understand and valuate. For example, fund managers use these options to decrease their hedging costs. Furthermore, barrier options are attractive to those market participants who have strong views on how the market will behave on a certain time horizon. Therefore, investors who expect small fluctuations of the market will choose to buy knockout options while those who believe that the market will behave erratically will opt for knockins. Last but not least, barrier options are very often integrated in structured products. 3.2 Payoff of European barrier options Making the following notations = min and = max, we will list below the individual payoffs for the four main types of barrier options 9 (upandin, upandout, downandin, downandout). If < = max, 0 { } = max, 0 { } If > = max, 0 { } = max, 0 { } where {+1, 1} is the usual call/put indicator, is the barrier level and =. 9 ZHANG, P. G Exotic Options: A Guide to Second Generation Options, Singapore, World Scientific Publishing 14
21 Being given the payoffs from above we can now write the following observation about knockin options: as long as the barrier is touched during the life of the options, the investor will receive an European option at the maturity of the barrier option, while, if the barrier is not touched during the life of the option, the investor will receive zero (sometimes, the investor receives a compensation i.e. a rebate 10 ). For knockout options, the European option is received as long as the barrier is not breached up to maturity. 3.3 Pricing barrier options Starting with the same assumptions as for digitals (BlackScholes framework, underlying asset returns following a lognormal random walk, riskneutral world), we have that the underlying process is described by the following equation under the riskneutral measure : = r q dt + The solution for this partial differential equation, as shown before, is given by: = e The notations for the parameters in the last two equations are the same as in 2.3. Further on, we make the additional notations: = min = max = = = + σ = + σ = + σ 10 Generally throughout the paper we will assume that the rebate equals zero. 15
22 Moreover, the value of a call/put option at time 0 will be denoted by /, while the value of an upandin call/put option at time 0 will be denoted by / (and similar for the other three types of barrier options), and the barrier by. The pricing of barriers in this chapter will be based on barriers with zero rebate and will be done at time zero. Given that + = e max, 0 { } + e max, 0 { } = e max, 0 = we can prove in a similar way that: + = + = + = I) If <, the following results will be demonstrated: a) If < then: = e x K e x σ T e y y + K e y + σ T y + σ T ( 9 ) = e y + K e λ y + σ T ( 10 ) b) If > = 0 ( 11 ) = ( 12 ) = e x + K e x + σ T + e λ y K e λ y + σ T ( 13 ) 16
23 Proof a) For < = e max, 0 { } = e {, } = E e S e K {, } We make the following notation: =. Thus, = S c = E e S e K, = e E S e K, We also denote ln = x and ln = b. Since K <, we obtain x <. The price of the upandin call option at time 0 becomes: = 1, 1, = Further on, we will use the following lemma: Lemma 1: Let there be > 0 and <, with the stochastic process = + and its maximum defined by =, where is a standard Brownian motion under the probability measure. Then, we have that:, = =
24 We can now write and using the previous lemma as: I = e E K 1, = K e Where: b + ν T σ T = x σ T + e e B σ ln + r q = S 2 T σ T = ln S B + λ 1 σ T σ T e b ν T σ T = e = B S y + σ T ln B S λ 1 σ T σ T e x 2 b ν T = e σ t ln K S 2 ln B S ν T σ T = B S ln B S S K λ 1 σ T = B σ T S y + σ T Thus, I = K e x σ T + B S y + σ T y + σ T We now solve for I 18
25 I = e E S e 1, = S E e e 1, = S e E e 1, Our objective is to eliminate the exponential term from the expectation by changing the probability measure. We will employ the Girsanov Theorem (Appendix B). Let = σ t. = = = I = S e E e 1, = S e E e 1, = S e E 1, Once again, we will use Lemma 1 and we make the following notation: ν = +. I = S e b + ν T σ T + e where x 2 b ν T σ T b ν T σ T e 19
26 B σ b + ν T ln σ T = S + r q + 2 T = ln S B + λ σ T σ T σ T = x e = e = y e x 2 b ν T = e σ t ln K S 2 ln B S λ σ T σ T = B ln B S S S K λ σ T = B σ T S y Thus I = S e x + B S y y And = = e x K e x σ T e B S y y + K e B S y + σ T y + σ T The demonstration for the pricing formula of the upandin put option at time 0 follows. = E e max, 0 { } = E e {, } = E e K S e {, } 20
27 We make the following notation: =. Thus, = S. = E e K S e, = e E K S e, We also denote ln = x and ln = b. Since K <, we obtain x <. = e E K, e E S e, = I I The following lemma will be used: Lemma 2: Let there be > 0 and <, with the stochastic process = + and its maximum defined by =, where is a standard Brownian motion under the probability measure. Then, we have that:, = 2 We can now write and using the previous lemma as: Where: I = e E K 1, = K e e x 2 b ν T σ T 21
28 e x 2 b ν T = e σ t ln K S 2 ln B S ν T σ T = B S ln B S S K λ 1 σ T = B σ T S y + σ T And, thus: I = K e B S y + σ T We now solve for I I = e E S e 1, = S E e e 1, = S e E e 1, Our objective is to eliminate the exponential term from the expectation by changing the probability measure. We will employ the Girsanov Theorem (Appendix B). Let = σ t. = = = 22
29 I = S e E e 1, = S e E e 1, = S e E 1, Once again, we will use Lemma 2 and we make the following notation: ν = +. I = S e e x 2 b ν T σ T Where: e x 2 b ν T = e σ t ln K S 2 ln B S λ σ T σ T = B ln B S S S K λ σ T = B σ T S y Thus: I = S e B S y And: = e B S y + K e B λ S y + σ T 23
30 Proof b) For > For a upandout call one of the conditions to be met is that >, otherwise it expires worthless. But if > > > {, } = 0 = E e {, } = E 0 = 0 = The price for an upandout put at time 0 is given by: = E e max, 0 { } = E e {, } Since we know that <, and our condition is that <, the other condition ( < ) is redundant. Hence, we can restate the payoff function simply as { }. We make the following notation: =. Thus, = S. = E e K S e = e E K S e We also denote ln = b. = e E K 1 e The following lemma will be used: Lemma 3: E S e 1 = I I Let there be > 0, with the stochastic process = + and its maximum defined by =, where is a standard Brownian motion under the probability measure. Then, we have that: 24
31 = We can now write and using the previous lemma as: Where: I = e E K 1 = K e b ν T σ T e b ν T σ T b ν T B σ ln r q σ T = S σ T 2 T = ln S B λ 1 σ T σ T = x + σ T e And, thus: b ν T σ T = e = B S y + σ T ln B S λ 1 σ T σ T I = K e x + σ T B S y + σ T We now solve for I I = e E S e 1 = S E e e 1 = S e E e 1 25
32 Our objective is to eliminate the exponential term from the expectation by changing the probability measure. We will employ the Girsanov Theorem (Appendix B). Let = σ t. = = = I = S e E e 1 = S e E e 1 = S e E 1 Once again, we will use Lemma 3 and we make the following notation: ν = +. Where: I = S e b ν T σ T e b ν T σ T b ν T B σ ln σ T = S r q + σ T = x 2 T = ln S B λ σ T σ T e b ν T σ T = e ln B S λ σ T = B σ T S y Thus: I = S e x B S y 26
33 And: = e x + K e x + σ T + e B S λ y K e B λ S y + σ T II) If >, the following results can be demonstrated similar to when <. a) If < then: = e x K e x σ T e y + K e y σ T ( 14 ) = 0 ( 15 ) b) If > then: = e y K e y σ T ( 16 ) = e x + K e x + σ T + e y y K e y σ T y σ T ( 17 ) 27
34 4 Binary barrier options 4.1 General description of binary barrier options Binary barriers combine features of the two types of options presented in the previous chapters, in the sense that they pay a fixed amount of some asset as long as some preestablished conditions are triggered (such as that a barrier must (or must not) be touched during the life of the product and/or that the price at expiry should be above/below a certain level (which can be different or identical to the barrier)). Rubinstein and Reiner (1991) describe 28 types of binary barrier options, differentiated by criteria such as the position of the price at time zero towards the barrier (down/up), the exercise date (at hit or at expiry) or the type of payoff (cashornothing or assetornothing). In order to have positive payoffs, some options require not only that the barrier be breached, but also that the underlying asset finishes above/below a given level. Given that the scope of the present thesis is to shed some light on corridor products, we are only interested in the so called binary barrier cashornothing at expiry options, which we will be using in the valuation process. The binary barrier cashornothing at expiry option pays out a certain amount of cash at the maturity date if the barrier has been hit (or not) during the life of the product. For ease of notations, the expression binary barrier option will refer to this type of option for the rest of the paper. 4.2 Payoff of binary barrier options Making the following notations = min and = max, we will list in the table below the individual payoffs for the main types of binary barrier options. 28
35 Table 1: Payoff of binary barrier options Type of option Payoff Condition Binary UI at expiry CON X (t) > B Binary UO at expiry CON X (t) < B Binary DI at expiry CON X (t) > B Binary DO at expiry CON X (t) < B Note: if the condition is not met than the payoff is zero. Source: own contribution. 4.3 Pricing binary barrier options I) If <, the following results will be demonstrated: = e x σ T + X e y + σ T ( 18 ) II) If >, then = e x σ T e y σ T ( 19 ) Where = = + σ = + σ Proof: Using the same notations as for barrier options, the value of a European binary upandin cashornothing can be expressed as follows: = E e X { } We make the following notation: =. Thus, = S. 29
36 = E e X = e X E We also denote ln = b. The following lemma will be used: Lemma 4: Let there be > 0, with the stochastic process = + and its maximum defined by =, where is a standard Brownian motion under the probability measure. Then, we have that: = + + We can now write the binary upandin at expiry cashornothing option using the previous lemma as: Where: = e X E 1 = e X b + ν T σ T + e b ν T σ T b + ν T B σ ln σ T = S + r q 2 T = ln S B + λ 1 σ T σ T σ T = x σ T 30
37 e Thus: b ν T σ T = e = B S y + σ T ln B S λ 1 σ T σ T = X e x σ T + B S y + σ T The result for the binary downandout cashornothing can be demonstrated in the same manner. = e X { } We make the following notation: =. Thus, = S. = E e X = e X E We also denote ln = b. The following lemma will be used: Lemma 5: Let there be < 0, with the stochastic process = + and its maximum defined by =, where is a standard Brownian Motion under the probability measure. Then, we have that: =
38 We can now write the binary downandout at expiry cashornothing option using the previous lemma as: Where: = e X E 1 = e X b + ν T σ T e b + ν T σ T b + ν T B σ ln σ T = S + r q 2 T = ln S B + λ 1 σ T σ T σ T = x σ T e = e = y σ T Thus: = X e x σ T B S y σ T 32
39 5 General description of corridor products 5.1 General characteristics of corridor products Corridor products 11 are structured products which offer enhanced yields to investors who believe that the underlying will stay within a certain range for a predefined time period. These customized products are particularly structured for those investors who view a different path for a certain rate than that given by the forward rate curve. Forward curves have not historically proven to be good predictors of rates, and this offers opportunities to exploit the arbitrage. (Navatte and QuittardPinon, 1999) This kind of products offers the investor the possibility of capturing returns higher than the money market interest rate. The interest rate is paid when the structure matures, but it is accrued at certain dates according to the fixing schedule, whenever the reference rate (i.e. the underlying asset) is situated within the bandwidth the issuer and the investor have agreed upon before the start of the operation. For those fixings when the reference rate is outside the range, no interest is paid or nominal amounts are paid (or sometimes a lower than the market interest rate is offered as compensation), which are traditionally called rebates. For these structures, the capital is generally guaranteed. (Knop, 2002) Types of corridors 12 In the same manner as with options and other structured products, corridor products can be characterized in relation to their European or American feature. European style corridors have the resurrecting feature, that is to say, even if the underlying crosses the range limits until maturity, all the fixings 13 inside the range are considered for the payoff. For a fixing schedule 14 {,,, }, we can specify the payoff as follows: 11 Sometimes known as range accruals 12 WYSTUP, U FX Options and Structured Products, Chichester, John Wiley & Sons. 13 Fixings (also known as fixing rates) are official quotations for prices of assets such as gold, FX rates, interest rates, etc. published by sources such as the European Central Bank, Reuters, Bloomberg, etc. 33
40 1 { } where N represents the total number of fixings, L the lower barrier, H the higher barrier. American style corridors are nonresurrecting, i.e. fixings inside the range are accumulated only for the period up to the first breach of the range limits. In this case, the payoff can be defined as follows: 1 { } { } where is the stopping time, defined as: = inf{, } American style corridors with complete knockout specify that the entire accumulated amount is lost if the exchange rate leaves the range. The payoff structure is defined as follows: 1 { } { } 5.2 Motivation for issuance of and investment in corridor products Corridor type products are known under different terminologies such as digital ranges, accrual notes and corridor notes. All these are structures used by those investors who have a strong perception of the way in which the market will evolve. The investor bets against the general expectations of the market evolution and, hence, he can position himself in such a way that he will benefit from the situation, by buying or selling against the market. (Knop, 2002) 14 The fixing schedule is established with a daily, weekly or monthly frequency. 34
41 The general risks involved with investing in such structures come from the evolution of interest rates and the volatility of the underlying. With FX corridor products, the major risk is given by the significant fluctuations in foreign exchange rates. Another aspect is given by the relative lack of liquidity, as a result of the customized nature, but this is generally an issue with all structured products. Investor perspective When buying a corridor type structure, the investor bets on a stable market, and the maximization of his profits will take place when the reference rate is mostly within the predefined range. Therefore, we could say that he is selling volatility and that the risk emerges in case of volatile situations. Issuer perspective By contrast with the investor, the issuer risk comes from stable situations, since his position is that of a speculative buyer in volatility (if unhedged). He might end up paying above market interest rate if the reference rate will remain mostly within the range. 35
42 6 Miscellaneous corridor products Since the financial markets offer the possibility of trading for a wide variety of products that imitate the structure of corridors, it is impossible to include in a master thesis an exhaustive classification, description and valuation of them. Therefore, we chose to present in this chapter two main categories of the mentioned products, following to price them further on. Our choice was based on the possibility of decomposing their structure using options of the digital and barrier type presented in the previous chapters. 6.1 Digital ranges General description Digital ranges are products similar to straight bonds in the sense that they offer a preestablished fixed interest rate. However, they are different from straight bonds with respect to the fact that the total amount of coupons depends on the number of days (according to the fixing schedule) when a certain predefined reference rate (e.g. FX rate, according to the fixing source 16 ) stays within a prespecified corridor, i.e. the corridor is resurrecting (European style corridor). At maturity, the fixings respecting the condition are counted and the coupon received will depend on the investor s level of success. Such a product guarantees the capital and also a worst case (minimum) coupon of at least 0%. Corridor notes are appealing to those investors who expect the reference rate to be mainly stable and to stay within a certain range for most of the days for which the contract is valid also known as corridor notes (CHRISTL, J Financial Instruments: Structured Products Handbook. Oesterreichische Nationalbank.) or corridor deposits (WYSTUP, U FX Options and Structured Products, Chichester, John Wiley & Sons.). We will be using the digital range term, since, as it will be seen further on, in order to evaluate these products, digital options will be used. 16 Usually the ECB or FED. 17 CHRISTL, J Financial Instruments: Structured Products Handbook. Oesterreichische Nationalbank. pg 40 36
43 Table 2: Example of a FX digital range Maturity Nominal amount 18 EUR 1 Spot rate Upper limit Lower limit Corridor style Money market interest rate Minimum interest rate Maximum interest rate Reference rate Total number of fixings N 91 Fixing source Coupon date March 1, 2010 to May 31, 2010 (91 days) EUR/USD EUR/USD EUR/USD Resurrecting 0.655% (actual number of days)/ % (actual number of days)/ % (actual number of days)/360 EUR/USD FX rate ECB At maturity Note: The minimum interest rate is paid in any case. The extra coupon paid at maturity in EUR is 1,4% 0,3% 91360, where is the number of fixings within the range. Source: own contribution. Advantages Possible higher coupon than the market Guaranteed capital and known upfront worst case coupon Fixings outside the corridor do not lead to a worst case coupon Disadvantages Possible lower coupon than the market They are expensive due to their resurrecting feature 18 For ease in further calculations, we assume that the notional is worth EUR 1 in our examples, even though in the real world these products have significantly higher notional. 37
44 6.1.2 Replication 19 Digital ranges can be decomposed into the redemption amount and the coupons. While replicating the redemption amount is straightforward (using a zero coupon bond), the replication of coupons is more complicated (especially if there is a nonzero rebate). At any time within the fixing schedule, we need to check if the reference rate is within the boundaries of the corridor. Furthermore, we need to take into consideration the coupon payment schedule, as the fixings within the range accrue for payment at the next coupon date (we will consider here that there is only one coupon date, at maturity). Therefore, the algorithm of the process can be described as: h,, h =, = where is the period for which the digital range is issued 20. The payoff structure of a digital range for one of the dates corresponding to the fixing schedule can be depicted as in Figure 3 below. Figure 3: Digital range  payoff corresponding to a fixing date Source: own contribution. 19 This section follows the ideas of CHRISTL, J Financial Instruments: Structured Products Handbook. Oesterreichische Nationalbank. and WYSTUP, U FX Options and Structured Products, Chichester, John Wiley & Sons. 20 For the maturity dates of each of the digital options, we will use. 38
45 The payoff profile for a digital range corresponding to all the dates in the fixing schedule can be built in different ways: a long position in a series of digital calls ( =, = ) and a short position in a series of digital calls =, = ) plus a long position in a series of digital puts ( =, = ) and a long position in a series of digital calls ( =, = ) for every day when the interest accrues (according to the fixing schedule) a long position on a bond ( = ), a long position in a series of digital calls ( =, = ) plus a short position in a series of digital calls ( =, = ) a long position on a bond ( = ), a short position in a series of digital puts ( =, = ) and a short position in a series of digital calls ( =, = ) It is important to mention that the digital options used in the replication of digital ranges pay off at the coupon dates, not at the exercise dates. This creates the need for an adjustment in the valuation process, as one needs to take into account the time value of the individual payoffs. We will return to this aspect in the part dedicated to the valuation of digital ranges. The pricing of the structure carried on in the next subchapter will use the decomposition made under the first bullet, since the authors of this thesis found it to be easier to work with, from an analytical point of view. All these being said we can now decompose the product from Table 2 as follows: 39
46 + Table 2 = = , = 1,4% = , = 1,4% = , = 0,3% = , = 0,3% Valuation of digital ranges For pricing the structure of digital ranges, we will use the results obtained in chapter 2, i.e. the valuation formulae for cashornothing digital options at time zero: = d = d where ln K d = + r q σ 2 T σ T However, we will adjust these values, as suggested by Knop (2002, pg. 63) due to the fact that the payoff of the digital options does not convert into cash at the options expiration date, the settlement taking place at the structure s maturity date. Therefore, we will multiply the value of each option with, where is a suitable forward interest rate applicable to the period elapsed between the digital options maturity dates ( and the structure s expiry date (. Due to the fact that we employ digital calls and puts with two different strike levels, we will use the implied volatilities corresponding to vanilla options struck at the lower limit, 40
47 respectively at the higher limit of the corridor. Furthermore, for simplicity reasons, we assume a constant volatility term structure. The value of digital ranges at time = 0 can be specified as follows: = + =, = =, = + =, = + =, = = + ln S L + r q σ 2 σ ln S H + r q σ 2 σ + ln S L + r q σ 2 σ + ln S H + r q σ 2 σ 41
48 = + + With d = d = The more general formula for the value of a digital range at an intermediate time can be written by accounting differently for the digital options before and after time, in the following manner: =
49 = + +,, +,, With d, = d, = d, = d, = Where is the index for an intermediate day between the inception and the maturity of the structure, is the spot rate of the underlying at time, represents the forward rate applicable for the period between and, represents the forward rate applicable for the period between and. is the structure s inception date. For our example will always be set to zero. An observation needs to be done here. As one can see, we use the riskfree rate (corresponding to the structure s maturity) in order to discount the value of our product to time zero. The situation changes when we perform the valuation of our structure at an intermediate time, as we will need to use another discount rate, namely, in order to adjust for the time differential between the structure maturity and the intermediate time. For the hypothetical example illustrated in Table 2, using market data for the forward rates, riskfree rate, foreign riskfree rate and implied future volatilities, the value of our digital range as at time should have been as follows: 43
50 Table 3: Valuation at time zero for the digital range presented in Table 2 Notional 1.00 Asset price ( S ) Time to maturity in days (T) r min 0.30% r max 1.40% Running time 0.00 Riskfree rate ( r ) 0.655% Cost of carry ( cc ) 0.525% Volatility (K=L) % Volatility (K=H) % L H N Value Note: Computations done in MS Excel (Worksheet Digital range, File Thesis.xlsx, Enclosed CD). Source: own contribution. Furthermore, the dependency of the digital range value on the time to maturity and the underlying price can be observed in Figure 4. Figure 4: Digital range value evolution across the product s lifetime Note: Graph realized in MS Excel (Worksheet Digital range, File Thesis.xlsx, Enclosed CD). Source: own contribution. As it can be seen, through its lifetime, the highest value for our product is reached when the underlying trades around the initial spot price. As the spot leans towards any of the barriers, the structure starts declining in value, as the chances for leaving the range increase. 44
51 Relationship between the maximum and the minimum interest rates for a fixed price of the digital range: The relationship is shown with consideration to = 0, taking into account that the following condition needs to be respected: 0 < < <. = d + d / d d Figure 5: Relationship between the maximum and minimum interest rates for a digital range Note: The values are calculated with respect to the fixed price taken from Table 3; please see computations done in MS Excel (Worksheet Digital range, File Thesis.xlsx, Enclosed CD). Source: own contribution. The above figure shows how the absolute level of the maximum interest rate varies in relationship to a chosen guaranteed minimum interest rate, given that the price of the digital range is fixed. This provides the possibility of adjusting the payoff of the product according to the investor s risk profile. 45
52 6.2 Barrier ranges General description Also known as range protected deposits (or tunnel deposits), barrier ranges are products similar to straight bonds in the sense that they offer a preestablished fixed interest rate. However, they are different from straight bonds with respect to the fact that the total amount to be paid as coupon depends on the underlying staying within a prespecified corridor. If the limits of the corridor are breached, a lower interest is paid (i.e. lower than the one which would apply if the underlying price would never leave the corridor during the coupon period). In comparison to digital ranges, where the interest accrues for those fixings inside the corridor irrespective of the corridor being breached, barrier ranges only pay off the above market interest if no trigger event occurs up to maturity, and the below market interest rate (applied for the whole life of the product) otherwise. Barrier ranges are appealing to those investors who expect a specific reference rate to be mainly stable and to stay within a certain range throughout the period for which the contract is valid. There is a wide array of possibilities to design products in the barrier range category. One could come up with a product which knocks out/in only if both barriers are breached or the payoff structure could be tailored such as to offer a best case interest rate if no trigger event occurs, a lower interest rate if either of the barriers is touched and sometimes even a worst case interest rate if both barriers are crossed during the lifetime of the instrument. The classical example to be found in literature is that of a product paying two different interest rates: the first is an enhanced one (the one greater than the money market interest rate) which can be captured if the barriers are never crossed, while the other one is a lower than the market interest rate to be paid if the corridor is breached. This classical barrier range structure can be decomposed with the use of double binary barrier options. Hui (1996) prices one such option (upanddown out binary option) which pays a fixed cash 21 As presented in CHRISTL, J Financial Instruments: Structured Products Handbook. Oesterreichische Nationalbank. 46
53 amount if the barriers are not crossed and zero otherwise. According to Hui (1996), double barrier binary options are not combinations of singlebarrier, binary barrier or digital options. Consequently, the pricing for the classic barrier range cannot be done by employing combinations of simple options and therefore we chose not to deal with it, since, as specified in the introduction of this paper, the main focus is on using the mentioned basic types of options in analyzing corridor products. Instead, we will analyze a similar product with a slightly different payoff structure, as explained below. Our example (please see Table 4) is a case of a barrier range with three possible payoffs. The investor receives a higher than the market interest rate provided that the reference rate remains within the range limits up to maturity. In case one of the barriers is breached at some point <, a lower than the market return is received at maturity. The worst case scenario is when both barriers are crossed, which will result in an even lower return. Table 4: Example of a FX barrier range Maturity March 1, 2010 to May 31, 2010 (91 days) Nominal amount EUR 1 Spot rate EUR/USD Upper limit EUR/USD Lower limit EUR/USD Coupons 1% if L <= <= H throughout the lifetime of the coupon 0.55% if one of the barriers is touched 0.1% if both barriers are touched 22 Payment at coupon date (at maturity) Market interest rate 0.655% Reference rate EUR/USD FX rate Note: L lower limit; H upper limit. Source: Own contribution. 22 For this product, the worst case interest rate must satisfy the restriction: =. This restriction is of high importance for pricing the product, as it will be seen in the next subchapter. 47
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