Arbitrage Pricing Models for Put-Call Parity: A Quantitative Approach to Replicating Portfolios
Analysis: MathFinance 345/Stat390 Homework 1
In this analysis, we will explore two approaches to evaluating MathFinance 345/Stat390 Homework 1: an arbitrage argument and the Fundamental Theorem. We will also examine put options on stock and their replicating portfolios in different scenarios.
Arbitrage Argument
Imagine a portfolio consisting of a basket of stocks with known prices at time t = 0, denoted as SA t and SB t , respectively. Let's say there is an upfront payment q to enter into a swap contract between these assets. At time 1, you exchange one share of asset A for one share of asset B under a put option with strike K.
To find the fair market value q of this contract, we can use two methods: arbitrage argument and Fundamental Theorem. First, using the arbitrage argument, we assume that there is no risk-free interest rate r , implying that the expected return on assets A and B is equal to their respective prices at time 0.
Next, applying the Fundamental Theorem of Arithmetic Mean - Constant Proportion (AMCP) for Put-Call Parity, we derive an equation relating q , SA t , SB t , K , and r . This equation represents the expected value of q in terms of the given variables.
Example: Calculating the Arbitrage Value
Suppose SA 0 = 100 and SB 0 = 90, with a riskless rate of return r = 5%. Using the arbitrage argument, we can calculate the expected value of q as follows:
q = (SB 1 - SA 1)K / (SA 1 - SB 1)
Substituting the given values, we get:
q ≈ (90 - 100)K / (-10) q ≈ 9K
However, applying AMCP for Put-Call Parity yields a different result. Using the equation:
q = K(SA 0 + SB 0) / (SA 1 - SB 1)
we find that q ≈ K(190) / 20 q ≈ 95K
Replicating Portfolios
Now, let's consider put options on stock with different strike prices K . We'll examine the replicating portfolio for each option in scenarios ω1 and ω2 , where SA t = d1 < d2 and SB t = di .
For example, in scenario ω1 (d1 < d2), we can use a portfolio consisting of:
20 shares of Stock 80 shares of MoneyMarket
The expected value of the put option is given by:
E[put] = K(d1 - SA) / SB + q(0)
where q is the upfront payment to enter into the contract. To find the optimal weights, we use the mean-variance optimization method.
Example: Replicating Portfolio for Put Option in Scenario ω2
In scenario ω2 (d2 < di ), a replicating portfolio consists of:
80 shares of Stock 20 shares of MoneyMarket
Using the same expected value equation as before, we can calculate the optimal weights for each asset.
Incomplete Market
The MathFinance 345/Stat390 Homework 1 market is incomplete when there are three scenarios ω1 , ω2 , and ω3 with different share prices.