QUESTIONS
- What is the extent and purpose of human intervention in a quantitative investment management process?
- How are the methodologies utilized in economics different from those employed in the physical sciences?
- What is the common objective of all quantitative processes?
- What are the steps in the process for converting quantitative research into an implementable trading process?
- What is meant by “data snooping”?
- Why would it be prudent to test a quantitative model before it is implemented against an artificial data set formed from independent and identically distributed returns?
* Parts of this chapter are adapted from Frank J. Fabozzi, Sergio M. Focardi, and K. C. Ma, “Implementable Quantitative Research and Investment Strategies,” Journal of Alternative Investments 8, no. 2 (2005): 71-79.
1 David Leinweber, “Is Quantitative Investing Dead?” Pensions & Investments, February 8, 1999.
2 For a modern presentation of the status of market efficiency, see M. Hashem Pesaran, “Market Efficiency Today,” Working Paper 05.41, Institute of Economic Policy Research, 2005.
3 Andrew Lo, “The Adaptive Markets Hypothesis: Market Efficiency from an Evolutionary Perspective,” Journal of Portfolio Management 30 (2004): 15–29.
4 Milton Friedman, Essays in Positive Economics (Chicago: University of Chicago Press, 1953).
5 The same considerations apply to other scientific domains ranging from biology, medicine, ecological studies, and so on. Our focus here is economics.
6 Rosario N. Mantegna ...
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