Trader Vic on Commodities

What's Unknown, Misunderstood, and Too Good to Be True

AvVictor Sperandeo

Inbunden, Engelska, 2008

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Beskrivning

In Trader Vic on Commodities, Wall Street legend Victor Sperandeo explains in simple terms how these markets operate, removes some of the mystique and uncertainty involved, and offers a proven method for capitalizing on commodity market trends—without taking giant risks. Sperandeo shows that, as commodities are cyclical in nature, your goal should be to capture as much of the major market trends as possible, while balancing that goal with a minimum of risk.

Produktinformation

Utgivningsdatum:2008-03-14
Mått:161 x 236 x 22 mm
Vikt:400 g
Format:Inbunden
Språk:Engelska
Serie:Wiley Trading
Antal sidor:224
Förlag:John Wiley & Sons Inc
ISBN:9780470102121

Utforska kategorier

Finansiering inom Ekonomi och Ledarskap

Mer om författaren

Victor Sperandeo is a principal of Enhanced Alpha Management. He has more than forty years' experience on Wall Street, trading independently with, among others, George Soros, Leon Cooperman, and BT Alex Brown. He has written two very successful books with Wiley: Trader Vic: Methods of a Wall Street Master and Trader Vic II: Principles of Professional Speculation. Sperandeo has appeared on CNN and CNBC, as well as in leading financial publications.

Innehållsförteckning

Preface ixAcknowledgments xiiiChapter 1 The Basics 1Chapter 2 You Can’t Win Them All 9Chapter 3 Indicators and Tools 15Chapter 4 2B or Not 2B: A Classic Rule Revisited 23Chapter 5 An Introduction to the S&P DTI 35Chapter 6 A Challenge to the Random Walk Theory 45Chapter 7 The Rationale and Value of a Long/Short Futures Strategy 67Chapter 8 Why the S&P DTI Is an Indicator 81Chapter 9 The Fundamental Reason the S&P DTI Generates Core Returns 105Chapter 10 The Nature of the S&P DTI Returns 115Chapter 11 A Fundamental Hedge 133Chapter 12 S&P DTI Subindexes: The S&P Commodity Trends Indicator and the S&P Financial Trends Indicator 139Afterword 143Appendix A S&P DTI Methodology and Implementation 147Appendix B How to Interpret Simulated Historical Results 177Appendix C Correlation Statistics 191About the Author 195Index 197