• 沒有找到結果。

Chapter 6

Appendix A

This Appendix is intended to prove that the invalid transition probability in the Derman-Kani tree indicates the existence of arbitrage opportunities. Also, to avoid the occurrence of invalid transition probability, each newly determined stock price is required to be within the range as indicated in Eq. (3.11).

The up-move transition probability in the Derman-Kani tree is defined as:

(A.1)

where is the up-move transition probability at node at time , is the forward price at time , and is the stock price at time .

There are two cases for the transition probability to be invalid, which are 1) the transition probability is greater than 1, and 2) the transition probability is less than 0.

We are going to discuss them separately.

Case 1

From Eq. (A.1),

(A.2) In addition, since is the up-move from , and is the down-move from , is bound to be greater than or equal to . That is, the following condition must be hold

. (A.3)

Combining with Inequities (A.2) and (A.3) gives rise to the following inequality:

(A.4) If the relationship between stock prices and forward prices holds as inequality (A.4), one can make a riskless arbitrage by taking a short position on the forward at time and to buy the stocks for settlement at time . The net payoff is 0 at time , but the net payoff is either or at time .

Both of these two payoffs are greater than 0, whereas the initial cost is 0. These indicate arbitrage opportunities. Therefore, if the inequality (A.4) holds, arbitrage opportunities exist.

Case 2

From (A.1),

(A.5)

Also, since is the up-move from , and is the down-move from , is bound to be less than or equal to . That is, the following condition must be hold

. (A.6)

Combining with Inequities (A.5) and (A.6) gives rise to the following inequality:

(A.7) If the relationship between stock prices and forward prices holds as inequality (A.7), one can make a riskless arbitrage by taking a long position on the forward at time and to settle the forward contract to buy the stocks and sell the stock immediately at time . The net payoff is 0 at time , but the net payoff is either or at time . Both of these two payoffs are greater than 0, whereas the initial cost is 0. Therefore, if the inequality (A.7) holds, arbitrage opportunities exist.

From Case 1 and Case 2, if the probability is greater than 1 or less than 0, there are arbitrage opportunities. Therefore, the forward price has to be within the range as the following inequality to ensure no arbitrage opportunities:

(A.8)

Looking at and in inequality (A.8) simultaneously, there are two inequalities. They are:

(A.9) Combining these two inequities into one gives rise to the following inequality:

(A.10)

To rule out arbitrage opportunities, this inequality must also hold. Because the forward prices on time are known, if is less than or greater than , the opportunities exist.

In conclusion, invalid transition probabilities indicate arbitrage opportunities. To ensure arbitrage opportunities not occur, the stock prices in the nodes within the implied tree have to be within the following range:

(A.11) We have now proved that the invalid transition probability in the Derman-Kani tree indicates the existence of arbitrage opportunities. The following is to prove inequality (A.11) must hold for the transition probability to be valid.

Looking at and in inequalities (A.11) simultaneously, there are two inequalities, which are:

(A.12)

Combining these two inequities into one gives rise to the following inequality:

(A.13)

If the first inequality does not hold, the transition probability, will be less than 0; if the second inequality does not hold, the transition probability, will be greater than 1. The transition probabilities in both cases are invalid. The proof is as follows.

Case 1

If , then

(A.14)

Also, must hold in the tree, i.e., . Therefore, the up-move transition probability, , is less than 0. That is

(A.15) This is an invalid transition probability.

Case 2

If , then

(A.16)

Subtracting from both and , inequality (A.16) becomes

(A.17)

By arranging items in inequality (A.17), (A.17) therefore becomes

(A.18)

It is invalid for a transition probability to be greater than 1.

According to both cases discussed above, if the inequality (A.13) does not hold, i.e., arbitrage opportunity exists; the transition probability will be invalid.

Appendix B

This section is to prove that if the stock prices in the nodes within the Li tree are out of a specific range as indicated in inequality (4.14), arbitrage opportunities exist.

To rule out arbitrage opportunities, the stock prices have to be within the range:

(B.1) where is the forward price at time , and is the stock price at time

. In opposite to (B.1), if the relationship between the forward price and stock price is either or , then arbitrage opportunities exist. Let’s discuss these two cases separately.

Case 1

Suppose the relationship between the forward price and stock price is

(B.2) Also, since is the up-move form , and is the down-move from

, is bound to be greater than or equal to . That is, the following condition must hold

. (B.3)

Combining with inequities (B.2) and (B.3) gives rise to the following inequality:

(B.4) If the relationship between stock prices and forward prices holds as inequality (B.4), one can make a riskless arbitrage by taking a short position on the forward at time and to buy the stocks for settlement at time . The net payoff is 0 at time , but the net payoff is either or at time . Both of these two payoffs are greater than 0, whereas the initial cost is zero. These indicate arbitrage opportunities. Therefore, if inequality (B.4) holds, arbitrage opportunities exist.

Case 2

Suppose the relationship between the forward price and stock price is

(B.5) Also, since is the up-move from , and is the down-move from

, is bound to be less than or equal to . That is, the following condition must hold

. (B.6)

Combining with inequities (B.5) and (B.6), gives rise to the following:

(B.7) If the relationship between stock prices and forward prices holds as inequality (B.7), one can make a riskless arbitrage by taking a long position on the forward at time and to settle the forward contract to buy the stocks and sell the stocks immediately at time . The net payoff is 0 at time , but the net payoff is either

or at time . Both of these two payoffs are greater than 0. Therefore, if inequality (A.7) holds, arbitrage opportunities exist.

From Case 1 and Case 2, if the probability is greater than 1 or less than 0, there is an arbitrage opportunity. Therefore, the forward price has to be within the range as the following inequality to rule out arbitrage opportunities.

(B.8)

Looking at and in inequality (B.8) simultaneously, there are two inequities. They are:

(B.9)

Combining these two inequities into one gives rise to the following:

(B.10)

To rule out arbitrage opportunities, this must also hold. Because the forward prices on time are known, if is less than or greater than

, arbitrage opportunities exist.

In conclusion, invalid transition probabilities indicate arbitrage opportunities. To ensure arbitrage opportunities not happen, the stock prices in the nodes within the implied tree have to be within the following range:

(B.11)

References

[1]

Ait-Sahalia, Yacine, and Andre W. Lo. “Nonparametric Risk Management and Implied Risk Aversion.” Journal of Econometrics, 94 (2000), pp. 9-51.

[2]

Barle, S and N.Cakici. “How to Grow A Smiling Tree.” The Journal of

Financial Engineering, 7 (1996), pp. 127-146.

[3]

Barndorff-Nielsen, O.E. and N. Shepherd. “Incorporation of a Leverage Effect in a Stochastic Volatility model.” Working Paper (1999), The Centre for Mathematical Physics and Stochastics, University of Aarhus.

[4]

Bates, D. “Post-87 Crash Fears in the S&P500 Futures Option Market.” Journal

of Econometrics, 94 (2000), pp. 181-238.

[5]

Black, F. and M.J. Scholes. “The Pricing of Options on Corporate Liabilities.”

Journal of Political Economy, 81(1973), pp. 637-654.

[6]

Bollen, N. and R. Whaley. “Does the Net Buying Pressure Affect the Shape of Implied Volatility Functions?” Journal of Finance, 59 (2004), pp. 711-753

[7]

Brown, G. and Toft, K. B. “Constructing Binomial Trees from Multiplied Implied Probability Distributions,” Journal of Derivatives 7 (1999), pp. 83-100.

[8]

Campbell, J. Y. and A. S. Kyle. “Smart Money, Noise Trading and Stock Price Behavior,” Review of Economic Studies, 60 (1999), pp. 1-34.

[9]

Corrado, C.J. and Su, T. “Implied Volatility Skews and Stock Index Skewness and Kurtosis Implied by S&P 500 Index Option Prices,” The European Journal

of Finance, 3 (1997), pp. 73-85.

[10]

Cox, J., S. Ross, and M. Rubinstein. “Option Pricing: A Simplified Approach,”

Journal of Financial Economics, 7 (1979), pp. 229-263.

[11]

Derman, E., Kani, I. “The Volatility Smile and Its Implied Tree,” Quantitative

Strategies Research Notes (1994). New York: Goldman Sachs.

[12]

Derman, E., Kani, I. & Chriss, N. “Implied Trinomial Trees of the Volatility Smile,” Journal of Derivatives, 4 (1996), pp. 7-12.

[13]

Dupire, B. “Arbitrage Pricing with Stochastic Volatility,” Proceedings of AFFI

Conference in Paris, June 1992.

[14]

Dupire, B. “Pricing with A Smile,” Risk, 8 (1994), pp. 76-81.

[15]

Heston. “A Closed-Form Solution for Options with Stochastic Volatilities with Applications to Bond and Currency Options,” The Review of Financial Studies, 6 (1993), pp. 327-343

[16]

Hull, J. and A. White. “The Pricing of Options on Assets with Stochastic Volatilities,” Journal of Finance, 42 (1987), pp. 281-300.

[17]

Hull, J.C., Options, Futures, and Other Derivative Securities, Sixth edition (2007), Prentice Hall, New Jersey.

[18]

Jackwerth, J. C. and M. Rubinstein, “Recovering Probability Distributions from Option Prices,” Journal of Finance, 51 (1996), pp. 1611-1631.

[19]

Jackwerth, J. “Generalized Binomial Trees,” Journal of Derivatives, 5 (1997), pp.

7-17.

[20]

Jackwerth, J. “Option Implied Risk-Neutral Distributions and Implied Binomial Trees: A Literature Review,” Journal of Derivatives, 7 (1999), pp. 66-82.

[21]

Jackwerth. “Recovering Risk Aversion from Option Prices and Realized Returns,” The Review of Financial Studies, 13 (2000), pp. 433-451.

[22]

Jarrow, R. and Rudd, A. “Approximate Option Valuation for Arbitrary Stochastic Processes,” Journal of Financial Economics, 10 (1982), pp. 347-

369.

[23]

Li, Yanmin. “A New Algorithm for Constructing Implied Binomial Trees: Does the Implied Model Fit Any Volatility Smile,” Journal of Financial Engineering, 4 (2000), pp. 69-95.

[24]

Lim, K. and D. Zhi, 2002. “Pricing Options Using Implied Trees: Evidence from FTSE-100 Options,” Journal of Futures Markets, 22, pp. 601-626.

[25]

London, J. Modeling Derivatives in C++ (2004), John Wiley & Sons, pp. 274-

323.

[26]

Mahieu and Schotman. “An Empirical Application of Stochastic Volatility Models,” Journal of Applied Economy, 13 (1998), pp. 330-360.

[27]

Melick, W. R. and Thomas, C. P. “Recovering an Asset's Implied PDF from Option Prices: An Application to Crude Oil during the Gulf Crisis,” The Journal

of Financial and Quantitative Analysis, 32 (1997), pp. 91-115.

[28]

Nelson, D. “Conditional Heteroskedasticity in Asset Returns: A new Approach,”

Econometrica, 59 (1991), pp. 347-370.

[29]

Nicolato, E. and E. Venardos. “Option Pricing in Stochastic Volatility Models of the Ornstein-Uhlenbeck Type,” Mathematical Finance, 13 (2003), pp. 445-466.

[30]

Pena, I. & G. Rubio & G. Serna. “Why Do We Smile? On the Determinants of the Implied Volatility Function,” Journal of Banking and Finance, 23 (1999), pp.

1151-1179.

[31]

Platen, E., Schweitzer, M. “On Feedback Effects form Hedging Derivatives,”

Mathematical Finance, 8 (1998), pp. 67-84.

[32]

Pritsker, M. “Evaluating Value at Risk Methodologies: Accuracy versus Computational Time,” Journal of Financial Services Research, 12 (1997), pp.

相關文件