As some of you observe, I’ve been posting a handful of undergraduate and postgraduate materials or courses here. Some close students also asked me to share more on financial engineering. So here, I’ll start on a simple series on Financial Engineering, and will finish up the analytics materials before I finish this definitely. I’m quite excited to share this to be honest!

Firstly, I’ll break this up into two parts for simplicity. Part one shall focus on using straight forward stochastic models to price derivative securities in various asset classes. We will look at equities, fixed income, credit and mortgage-backed securities. At the same time, we try to evaluate their roles during a financial crisis too.

I’ll state clearly that this is really post graduate materials and need strong advanced knowledge in statistics, linear algebra and calculus. Instead of using my favourite Matlab here, I’ll use Excel to keep it reader friendly. Let’s begin with an overview of what we will be studying on.

Financial markets enable efficient allocation of resources, across time and states of nature. What does this mean? If I’m young and have a high salary, the existence of a financial market enable me to invest in stocks & bonds to finance retirement, home ownership, etc. Without the existence of a financial market, we can only consume. In this series, I’ll discuss a fair amount of hedging too, so what is hedging?  A hedge is like a barrier of bush, its to prevent entry. In finance, hedging is akin to a financial position one takes to offset any potential (incoming) losses, etc. For example, Starbucks buy stocks on coffee bean producers as a form of hedging so when the coffee bean prices soar (cost of production soar) but their stocks will appreciate.


What are the roles of markets?
1. Gather information
2. Liquidity (Supply & Demand)
3. Promote efficiency and fairness

Why create so many products to sell? (Needs)
1. Hedge risk
2. Allow speculation
3. Raise funds
4. Fund liabilities

There are two kinds of market models: Discrete time models and Continuous Time models. For simplicity, we will do Discrete time models in Part 1 first. Discrete time models have two types: Single period and multi-period models. We look at Discrete time model first because from it, we can appreciate all important concepts but with simplicity. Although one can argue that we can’t really obtain a closed form solution here and need use numerical calculations.

Next, I’ll address the difference between Financial Economics and Financial Engineering. The former uses equilibrium arguments to price equities, bonds, etc and set interest rates. The latter assume price of equities and interest rates are given, and price derivatives on equities, bonds, interest rates, etc using the no-arbitrage condition (we will get to it on session 2).

So what are we interesting in solving for Financial Engineering?
1. Security pricing
2. Portfolio selection: choosing a trading strategy to maximise the utility.
3. Risk Management: understanding the risks inherent in a portfolio. Tail risk, value at risk and conditional value at risk.

One Comment

  • […] Financial Engineering (I) #1 – Overview Financial Engineering (I) #2 – Introduction to No Arbitrage Financial Engineering (I) #3 – Interest rates and fixed income instruments Financial Engineering (I) #4 – Floating Rate Bonds and Term Structure of Interest Rates Financial Engineering (I) #5 – Forward Contracts Financial Engineering (I) #6 – Swaps Financial Engineering (I) #7 – Futures Financial Engineering (I) #8 – Options Financial Engineering (I) #9 – Options Pricing Financial Engineering (I) #10 – The 1-Period Binomial Model Financial Engineering (I) #11 – Option Pricing in the 1-Period Binomial Model Financial Engineering (I) #12 – The Multi-Period Binomial Model Financial Engineering (I) #13 – Pricing American Options Financial Engineering (I) #14 – Replicating Strategies Financial Engineering (I) #15 – Dividends, Pricing in the Binomial Model Financial Engineering (I) #16 – Black-Scholes Model Financial Engineering (I) #17 – Introduction to Term Structure Lattice Models Financial Engineering (I) #18 – Cash Account and Pricing Zero-Coupon Bonds Financial Engineering (I) #19 – Fixed Income Derivatives (1) Financial Engineering (I) #20 – Fixed Income Derivatives (2) Financial Engineering (I) #21 – The Forward Equation Financial Engineering (I) #22 – Model Calibration Financial Engineering (I) #23 – Pricing in a Black-Derman Toy Model Financial Engineering (I) #24 – Modelling and Pricing Default-able bonds Financial Engineering (I) #25 – Credit Default Swaps and Pricing Credit Default Swaps Financial Engineering (I) #26 – Mortgage Mathematics and Mortgage-Backed Securities Financial Engineering (I) #27 – Prepayment Risks and Pass-Throughs Financial Engineering (I) #28 – Principal-Only and Interest Only Mortgaged-Backed Securities Financial Engineering (I) #29 – Collateralised Mortgage Obligations Financial Engineering (I) #30 – Pricing Mortgage-Backed Securities […]

Leave a Reply