Commodity Trading Advisors (CTAs) use proprietary trading programs that buy and sell commodities and financial futures around the globe. Different than hedge fund and long-only portfolio managers, they don’t follow any stock or bond market trends, but rather, attempt to seize opportunities in a variety of commodity and financial futures markets. The investment potential of CTAs is undeniable, yet little has been done to study their performance in detail—until now.
In Commodity Trading Advisors: Risk, Performance Analysis, and Selection editors Greg Gregoriou, Vassilios Karavas, François-Serge Lhabitant, and Fabrice Rouah bring together the best minds in the business to analyze CTAs from both a quantitative and qualitative perspective. Divided into four comprehensive sections—Performance; Risk and Managed Futures Investing; Managed Futures Investing, Fees, and Regulation; and Program Evaluation, Selection, Diversification, and Returns—this unique resource contains articles that cover a wide range of CTA issues, including:
- The performance of CTAs in changing market conditions
- Simple and cross efficiency of CTAs using data envelopment analysis
- The effect of large hedge fund and CTA trading on futures market volatility
- Measuring the long volatility strategies of managed futures
- Managed futures funds and other fiduciary products
- Choosing the right CTA
- How to design a commodity trading futures program
Although much of the information related to CTAs can be technical in nature, Commodity Trading Advisors distills the knowledge of experts within this field in the most straightforward and accessible way possible. You’ll become familiar with many of the benefits and risks associated with CTAs as well as the risk/return characteristics of a number of different strategies implemented by them. You’ll also learn about important CTA selection and monitoring issues, such as evaluation, returns, and tracking.
Filled with in-depth insights and practical advice, Commodity Trading Advisors can help you—whether you’re an institutional investor, pension fund manager, endowment fund, or high-net-worth individual—understand the complexities of this alternative investment opportunity, and show you how to use CTAs as a portfolio diversification tool that can mitigate downside risk in any market.
Table of Contents
| Ch. 1 |
Managed futures and hedge funds : a match made in heaven |
5 |
| Ch. 2 |
Benchmarking the performance of CTAs |
18 |
| Ch. 3 |
Performance of managed futures : persistence and the source of returns |
31 |
| Ch. 4 |
CTA performance, survivorship bias, and dissolution frequencies |
49 |
| Ch. 5 |
CTA performance evaluation with data envelopment analysis |
78 |
| Ch. 6 |
The performance of CTAs in changing market conditions |
105 |
| Ch. 7 |
Simple and cross-efficiency of CTAs using data envelopment analysis |
129 |
| Ch. 8 |
The effect of large hedge fund and CTA trading on futures market volatility |
151 |
| Ch. 9 |
Measuring the long volatility strategies of managed futures |
183 |
| Ch. 10 |
The interdependence of managed futures risk measures |
203 |
| Ch. 11 |
Managing downside risk in return distributions using hedge funds, managed futures, and commodity indices |
220 |
| Ch. 12 |
Managed futures investing |
235 |
| Ch. 13 |
The effect of management and incentive fees on the performance of CTAs : a note |
248 |
| Ch. 14 |
Managed futures funds and other fiduciary products : the Australian regulatory model |
259 |
| Ch. 15 |
How to design a commodity futures trading program |
277 |
| Ch. 16 |
Choosing the right CTA : a contingent claim approach |
284 |
| Ch. 17 |
CTAs and portfolio diversification : a study through time |
307 |
| Ch. 18 |
Random walk behavior of CTA returns |
326 |
| Ch. 19 |
CTA strategies for returns-enhancing diversification |
336 |
| Ch. 20 |
Incorporating CTAs into the asset allocation process : a mean-modified value at risk framework |
358 |
| Ch. 21 |
ARMA modeling of CTA returns |
367 |
| Ch. 22 |
Risk-adjusted returns of CTAs : using the modified Sharpe ratio |
377 |
| Ch. 23 |
Time diversification : the case of managed futures |
385 |