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FT Business School: Global Financial Volatility

Why are current risk measures so low, when we think there are serious financial risks? Nobel prize-winning economist Robert Engle, professor of finance and director of the Centre for Financial Econometrics at NYU’s Stern School of Business, presents how volatility can be used to assess risk. He explains how ARCH and GARCH can measure time-varying volatility.

He investigates the implications for investors when there is a divergence between short and long-run risk. And finally he examines global financial volatility in the macroeconomic causes of long-run risks.

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Video course contents

Volatility


Part 1 Contents

1. Introduction: Volatility is of interest to market traders, chief executives and investors
2. What is volatility and how to view it with a global perspective
3. Patterns of volatility in the stock market and in different asset classes
4. Why volatility differs across asset classes
5. Closing thought: We need more tools before we can assess assets

Volatility transcript
Additional reading




Time Varying Volatility


Part 2 Contents
1.
Measuring volatitly over different periods of time
2. Looking at alternatives to historical volatility
3. ARCH model: Autoregressive conditional heteroskedasticity
4. GARCH model: Generalized autoregressive conditional heteroskedastic
5. Confidence intervals
6. Closing thought: Next, how to use these ideas in financial practice

Time Varying Volatility transcript
Additional reading

Estimating risk


Part 3 Contents

1. Calculating and managing risk
2. Value at risk - How to measure the amount of money a company could lose in a particular investment using the GARCH model
3. Financial risk today
4. Low volatility vs high perceived risk
5. Looking across world markets
6. Closing thought: Making sense of the paradox between financial vs global market risks

Estimating Risk transcript
Additional reading

More video lectures

Long Run Risk


Part 4 Contents

1. Equity market volatiltiy
2. The difference between short and long run risks
3. Evaluating risks
4. Implications for long run risk for investors and policy makers
5. Closing thought: Next, we examine the magnitude of long run risks

Long Run Risk transcript
Additional reading





Global Financial Volatility


Part 5 Contents

1. Putting all the previous lectures together
2. Comparing world markets and inflation
3. Implications for policy makers
4. Solving long run risks
5. Closing thought: Solving long and short term risks

Global Financial Volatility transcript
Additional reading

Your professor

Robert Engle


Background
Robert Engle, professor of Finance at NYU Stern School of Business, was awarded the 2003 Nobel Prize in Economics for his research on the concept of autoregressive conditional heteroskedasticity (ARCH).

Read more about Prof Robert Engle

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