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FINANCIAL INSTRUMENT MODELING IT FOR FINANCIAL SERVICES (IS356) The content of these slides is heavily based on a Coursera course taught by Profs. Haugh.

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Presentation on theme: "FINANCIAL INSTRUMENT MODELING IT FOR FINANCIAL SERVICES (IS356) The content of these slides is heavily based on a Coursera course taught by Profs. Haugh."— Presentation transcript:

1 FINANCIAL INSTRUMENT MODELING IT FOR FINANCIAL SERVICES (IS356) The content of these slides is heavily based on a Coursera course taught by Profs. Haugh and Iyengar from the Center for Financial Engineering at the Columbia Business School, NYC. I attended the course in Spring 2013 and again in Fall 2013 and Spring 2014 when the course was offered in 2 parts.

2 2

3 Options… The Basics 3

4 Payoff and Intrinsic Value of a Call 4

5 Payoff and Intrinsic Value of a Put 5

6 Put-Call Parity 6

7 European Options (Using Simple Binomial Modeling) 7

8 Profit Timing and Determination 8

9 Stock Price Dynamics – binomial lattice 9 Stock price goes up/down by the same amount each time period. In this example: 1.07 and 1/1.07

10 Options Pricing – call option formula 10 The value of the option at expiration is Max(S T - K,0). You will only exercise a European option if it is in-the-money at expiration, in which case the price of the stock (S T ) at expiration is greater than the strike price K. We will move backwards in the lattice to compute the value of the option at time 0.

11 European Call Option Pricing Example 11 15.48 = 1/R( 22.5q + 7(1-q)) R=1.01 Q=(R-d)/(u-d) d=1/1.07 u=1.07 A European put option uses the same formula. The only difference is in the last column: max(0, K-S T ). You only exercise a put option if the strike price > current price. You can buy shares at the current price and sell them at the higher strike K.

12 European Options: Excel Modeling 12

13 Does Put Call Parity Hold? 13

14 American Options (Using Simple Binomial Modeling) 14

15 Pricing American Options 15

16 Reverse through the Lattice 16

17 American Put vs. Call – early or not? 17

18 Black-Scholes Model 18 Geometric Brownian Motion Models random fluctuations in stock prices

19 Black-Scholes Model… continued 19

20 Black-Scholes Model in Excel 20

21 Implied Volatility 21

22 Futures and Forwards 22

23 Forwards Contracts 23

24 Futures and Forwards… 24 Problems with Forwards Futures Contracts

25 Mechanics of a Futures Contract 25

26 Excel Example with Daily Settlement 26

27 Hedging using Futures 27 A Perfect Hedge Isn’t Always Possible…

28 Term Structure of Interest Rates 28

29 Yield Curves (US Treasuries) 29 Source: http://www.treasury.gov/resource-center/data-chart-center/interest-rates/pages/TextView.aspx?data=yieldYear&year=2013 Rates are climbing – highest in Dec 2013

30 Sample Short Rate Lattice 30 9.375% = 7.5% x 1.25

31 Pricing a Zero-coupon Bond (ZCB) 31 9.375% comes from the last slide Assumes a 50:50 chance of rates increasing/decreasing

32 Excel Modeling 32 Again, we work backwards through the lattice. 89.51 = 1/1.1172 * ( 100 x 0.5 + 100 x 0.5)

33 Pricing European Call Option on ZCB 33 Max(0, 83.08-84) Max(0, 87.35-84) Max(0, 90.64-84)

34 Pricing American Put Option on ZCB 34

35 Pricing Forwards on Bonds 35

36 Pricing Forwards on Bonds - excel 36 Start at the end and work back to t=4 Then work from t=4 backwards

37 Mortgage Backed Securities (MBS) Collateralized Debt Obligations (CDO) 37

38 Mortgage Backed Securities Markets 38

39 The Logic of Tranches (MBS) 39

40 The Logic of Tranches (CDO) 40

41 A Simple Example: A 1-period CDO 41

42 Excel model of CDO 42 1-probability of default = probability of survival

43 CDO N 43

44 Portfolio Optimization 44

45 Return on Assets and Portfolios 45

46 Two-asset Example 46

47 Optimization Example (solver) 47

48 Optimization with trading costs 48


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