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Predictability of Equity Models

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Author Info
Valls Pereira, Pedro L.
Chicaroli, Rodrigo

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Abstract

In this study, we verify the existence of predictability in the Brazilian equity market. Unlike other studies in the same sense, which evaluate original series for each stock, we evaluate synthetic series created on the basis of linear models of stocks. Following Burgess (1999), we use the “stepwise regression” model for the formation of models of each stock. We then use the variance ratio profile together with a Monte Carlo simulation for the selection of models with potential predictability. Unlike Burgess (1999), we carry out White’s Reality Check (2000) in order to verify the existence of positive returns for the period outside the sample. We use the strategies proposed by Sullivan, Timmermann & White (1999) and Hsu & Kuan (2005) amounting to 26,410 simulated strategies. Finally, using the bootstrap methodology, with 1,000 simulations, we find strong evidence of predictability in the models, including transaction costs

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File URL: http://mpra.ub.uni-muenchen.de/10955/
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 10955.

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Date of creation: Jan 2009
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Handle: RePEc:pra:mprapa:10955

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Related research
Keywords: predictability; variance ratio profile; Monte Carlo simulation; reality check; bootstrap; technical analysis;

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Find related papers by JEL classification:
C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods
G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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  1. Lo, Andrew W & MacKinlay, A Craig, 1990. "Data-Snooping Biases in Tests of Financial Asset Pricing Models," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 3(3), pages 431-67. [Downloadable!] (restricted)
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  2. Ryan Sullivan & Allan Timmermann & Halbert White, 1999. "Data-Snooping, Technical Trading Rule Performance, and the Bootstrap," Journal of Finance, American Finance Association, vol. 54(5), pages 1647-1691, October. [Downloadable!] (restricted)
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  3. Halbert White, 2000. "A Reality Check for Data Snooping," Econometrica, Econometric Society, vol. 68(5), pages 1097-1126, September.
  4. Andrew W. Lo & A. Craig MacKinlay, 1995. "Maximizing Predictability in the Stock and Bond Markets," NBER Working Papers 5027, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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This page was last updated on 2009-11-13.


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