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3 edition of Asset pricing models with conditional betas and alphas found in the catalog.

Asset pricing models with conditional betas and alphas

Wayne E. Ferson

Asset pricing models with conditional betas and alphas

the effects of data snooping and spurious regression

by Wayne E. Ferson

  • 233 Want to read
  • 36 Currently reading

Published by National Bureau of Economic Research in Cambridge, Mass .
Written in English

    Subjects:
  • Assets (Accounting) -- Prices -- Econometric models

  • Edition Notes

    StatementWayne E. Ferson, Sergei Sarkissian, Timothy Simin.
    SeriesNBER working paper series -- no. 12658., Working paper series (National Bureau of Economic Research) -- working paper no. 12658.
    ContributionsSarkissian, Sergei., Simin, Timothy T., National Bureau of Economic Research.
    The Physical Object
    Pagination31, [6] p. :
    Number of Pages31
    ID Numbers
    Open LibraryOL17631684M
    OCLC/WorldCa75550564

    of assets’ conditional alphas and betas. Using the short-window regressions, we estimate time series of conditional alphas and betas for size, B/M, and momentum portfolios from to The alpha estimates enable a direct test of the conditional File Size: KB. A Best Choice Among Asset Pricing Models? The Conditional CAPM in Australia. Nick Durack Robert B. Durand* Ross A. Maller JEL classification: G12 Keywords: asset pricing, Australia Nick Durack and Robert Durand are from the Department of Accounting and Finance, University of Western Australia, 35 Stirling Highway, Crawley, Western Australia, Cited by:

    In asset pricing regression models with conditional alphas and betas, the biases occur only in the estimates of conditional alphas. However, when time-varying alphas are suppressed and only time-varying betas are considered, the betas become by: 2. CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): This paper develops a new approach to testing dynamic linear factor models, which aims at time-variation in Jensen's alphas while using a nonparametric pricing kernel to incorporate conditioning information. In application we find that the conditional CAPM performs substantially better than .

    Using nonparametric techniques, we develop a methodology for estimating conditional alphas and betas and long-run alphas and betas, which are the averages of conditional alphas and betas, respectively, across time. The tests can be performed for a single asset or jointly across by: Asset-Pricing Anomalies at the Firm Level Scott Cederburg Michael S. O’Dohertyy J z Journal of Econometrics, Forthcoming Abstract We introduce a hierarchical Bayes approach to model conditional rm-level alphas as a function of rm characteristics. Our empirical framework is motivated by growing concernsCited by:


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Asset pricing models with conditional betas and alphas by Wayne E. Ferson Download PDF EPUB FB2

Asset Pricing Models with Conditional Betas and Alphas: The Effects of Data Snooping and Spurious Regression Wayne E, Ferson, Sergei Sarkissian, ano Timothy Simin* Abstract This s the estimation of asset pricing model regressions with conditional al-phas and betas, focusing on the joint effects of data snooping and spurious File Size: 5MB.

Asset Pricing Models with Conditional Betas and Alphas: The Effects of Data Snooping and Spurious Regression Article (PDF Available) in Journal of.

This paper studies the estimation of asset pricing model regressions with conditional alphas and betas, focusing on the joint effects of data snooping and spurious regression. We find that the regressions are reasonably well specified for conditional betas, even in settings where simple predictive regressions are severely by: Published: Ferson, Wayne E.

& Sarkissian, Sergei & Simin, Timothy, "Asset Pricing Models with Conditional Betas and Alphas: The Effects of Data Snooping and Spurious Regression," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol.

43(02), pagesJune. citation courtesy of. Asset Pricing Models with Conditional Betas and Alphas: The Effects of Data Snooping and Spurious Regression Wayne E. Ferson, Sergei Sarkissian, and Timothy Simin NBER Working Paper No. October JEL No.

C5,G1 ABSTRACT This paper studies the estimation of asset pricing model regressions with conditional alphas and betas,Cited by: 3. Asset Pricing Models with Conditional Betas and Alphas: The Effects of Data Snooping and Spurious Regression Wayne E. Ferson, Sergei Sarkissian, and Timothy Simin* Abstract This paper studies the estimation of asset pricing model regressions with conditional al phas and betas, focusing on the joint effects of data snooping and spurious.

Get this from a library. Asset pricing models with conditional betas and alphas: the effects of data snooping and spurious regression. [Wayne E Ferson; Sergei Sarkissian; Timothy T Simin; National Bureau of Economic Research.] -- This paper studies the estimation of asset pricing model regressions with conditional alphas and betas, focusing on the joint effects of data.

Downloadable. This paper studies the estimation of asset pricing model regressions with conditional alphas and betas, focusing on the joint effects of data snooping and spurious regression. We find that the regressions are reasonably well specified for conditional betas, even in settings where simple predictive regressions are severely by: Get this from a library.

Asset Pricing Models with Conditional Betas and Alphas: The Effects of Data Snooping and Spurious Regression. [Wayne E Ferson; Sergei Sarkissian; Timothy Simin] -- This paper studies the estimation of asset pricing model regressions with conditional alphas and betas, focusing on the joint effects of data snooping and spurious regression.

Spurious Regression and Data Mining in Conditional Asset Pricing Models* for the Handbook of Quantitative Finance, C.F. Lee, Editor, Springer Publishing Models with Conditional Betas and Alphas: The Effects of Data Snooping and Spurious Spurious Regression and Data Mining in Predictive Regressions In our analysis of regressions, like (1.

Conditional alphas and realized betas Valentina Corradi University of Warwick Walter Distaso This means that conditional asset pricing models entail on average smaller pricing errors than their unconditional versions.

Third, despite of their better fit, conditional asset pricing models and book-to-market considerations would entail a. “ Asset Pricing Models with Conditional Betas and Alphas: The Effects of Data Snooping and Spurious Regression.” Journal of Financial and Quantitative Analysis, 43 (), – Ferson, W.

E., and Schadt, R. : Ilan Cooper, Paulo F. Maio. Introduction. An anomaly is a pattern in average stock returns that is inconsistent with prevailing models of asset-price behavior.

As noted by Fama (), any empirical examination of anomalies thus requires a benchmark model of the process of price ing much of the existing literature, we focus largely on anomalous return patterns relative to the Capital Cited by: The paper also provides an easy technique for estimating and testing dynamic, conditional asset pricing models.

All one has to do is include factors and returns scaled by instruments in an. conditional asset pricing models with time-varying alphas and betas. They advocate for the use of daily data to estimate monthly factor loadings within short local windows. We take this idea to the limit by employing ultra-high frequency data to estimate daily betas, but then change the focusCited by: 6.

An easy test is examining the alphas 26 Effectively, all asset pricing models, including the CAPM and CCAPM, partition, in‐sample, the average left‐hand‐side return (in our case, average realized return to insurance companies in –) into expected return (COE, the risk‐based part), which is the factor loadings times factor Cited by: 1.

Recent development in the U.S. asset pricing literature has shown that the alpha from unconditional asset pricing models could be biased because betas are time-varying and covary with either the market risk premium or market volatility (Jaganathan and Wang,Lewellen and Nagel,Boguth et al., ).Cited by: 4.

Conditional Asset Pricing and Stock Market Anomalies in Europe Rob Bauer for conditional asset pricing models and reviews existing empirical evidence.

Section 3 this covariance is insufficient to explain the large unconditional alphas produced by book. Conditional alphas and realized betas Valentina Corradi University of Warwick Walter Distaso This means that conditional asset pricing models entail on average smaller pricing errors than their unconditional versions.

Third, despite of their better t, conditional asset pricing models and book-to-market considerations would entail a. Testing the Conditional CAPM using GARCH-type Models without any other Restrictions M.B. Doolan and D.R. Smith School of Economics and Finance, Queensland University of Technology August 4, Abstract We develop a new approach to testing conditional asset pricing models that avoids placing restrictions on the price of Size: KB.

In the realm of asset pricing models the Sharpe () and Lintner () Capital Asset Pricing Model (CAPM) continues to be the primary and dominant model. After estimating two conditional betas for each stock corresponding to bull and bear market conditions, using the dual-beta-with-EGARCH models, the cross-section regressions are.assets’ conditional alphas and betas.

Using the short-window regressions, we estimate time series of conditional alphas and betas for size, B/M, and momentum portfolios from – The alpha estimates enable a direct test of the conditional CAPM: average conditional alphas should be zero if the CAPM holds, but instead we find.

The asset pricing models of financial economics describe the prices and expected rates of return of securities based on arbitrage or equilibrium theories.

These models are reviewed from an empirical perspective, emphasizing the relationships among the various models.