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The Fama–MacBeth regression is a method used to estimate parameters for asset pricing models such as the capital asset pricing model (CAPM). The method estimates the betas and risk premia for any risk factors that are expected to determine asset prices. The method works with multiple assets across time (panel data). The parameters are estimated in two steps: Eugene F. Fama and James D. MacBeth (1973) demonstrated that the residuals of risk-return regressions and the observed "fair game" properties of the coefficients are consistent with an "efficient capital market" (quotes in the original).

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  • The Fama–MacBeth regression is a method used to estimate parameters for asset pricing models such as the capital asset pricing model (CAPM). The method estimates the betas and risk premia for any risk factors that are expected to determine asset prices. The method works with multiple assets across time (panel data). The parameters are estimated in two steps: 1. * First regress each of n asset returns against m proposed risk factors to determine each asset's beta exposures. 2. * Then regress all asset returns for each of T time periods against the previously estimated betas to determine the risk premium for each factor. Eugene F. Fama and James D. MacBeth (1973) demonstrated that the residuals of risk-return regressions and the observed "fair game" properties of the coefficients are consistent with an "efficient capital market" (quotes in the original). Note that Fama MacBeth regressions provide standard errors corrected only for cross-sectional correlation. The standard errors from this method do not correct for time-series autocorrelation. This is usually not a problem for stock trading since stocks have weak time-series autocorrelation in daily and weekly holding periods, but autocorrelation is stronger over long horizons. This means Fama MacBeth regressions may be inappropriate to use in many corporate finance settings where project holding periods tend to be long. For alternative methods of correcting standard errors for time series and cross-sectional correlation in the error term look into double clustering by firm and year. (en)
  • Nelle applicazioni empiriche dell'economia finanziaria, una regressione Fama-MacBeth è un metodo di stima applicato a un panel di dati. Ipotizzando un panel di anni (o giorni, settimane, mesi: in generale, periodi), ove per ogni anno si hanno osservazioni sezionali, la procedura di Fama-MacBeth parte dalla stima di regressioni su dati sezionali: Si ottiene così una serie di stime dei coefficienti , ; la stima di Fama-MacBeth dei parametri e è data da una media delle stime: Il metodo di Fama-MacBeth rappresenta un metodo immediato di stima di modelli di regressione su dati panel, ed è particolarmente indicato in presenza di nelle variabili , (in quanto ne elimina gli effetti sulle stime — v. regressione spuria — per costruzione). La procedura prende il nome da Eugene Fama e James MacBeth, che per primi la applicarono in un noto lavoro apparso nel 1973 sul . (it)
  • ファーマ–マクベス回帰(ファーマ–マクベスかいき、英: Fama–MacBeth regression)とは、金融経済学において、CAPMのようなファクター型資産価格モデルの統計的妥当性を調べるための回帰分析の手続きである。ファーマ–マクベスの2段階回帰と呼ばれることもある。ユージン・ファーマとジェームズ・マクベスが1973年に発表した論文で用いられた。ファーマ–マクベス回帰においては、時系列方向に対する回帰を行い、その後方向への回帰を行うことでファクター型資産価格モデルの妥当性に対する検証が可能となる。 (ja)
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  • ファーマ–マクベス回帰(ファーマ–マクベスかいき、英: Fama–MacBeth regression)とは、金融経済学において、CAPMのようなファクター型資産価格モデルの統計的妥当性を調べるための回帰分析の手続きである。ファーマ–マクベスの2段階回帰と呼ばれることもある。ユージン・ファーマとジェームズ・マクベスが1973年に発表した論文で用いられた。ファーマ–マクベス回帰においては、時系列方向に対する回帰を行い、その後方向への回帰を行うことでファクター型資産価格モデルの妥当性に対する検証が可能となる。 (ja)
  • The Fama–MacBeth regression is a method used to estimate parameters for asset pricing models such as the capital asset pricing model (CAPM). The method estimates the betas and risk premia for any risk factors that are expected to determine asset prices. The method works with multiple assets across time (panel data). The parameters are estimated in two steps: Eugene F. Fama and James D. MacBeth (1973) demonstrated that the residuals of risk-return regressions and the observed "fair game" properties of the coefficients are consistent with an "efficient capital market" (quotes in the original). (en)
  • Nelle applicazioni empiriche dell'economia finanziaria, una regressione Fama-MacBeth è un metodo di stima applicato a un panel di dati. Ipotizzando un panel di anni (o giorni, settimane, mesi: in generale, periodi), ove per ogni anno si hanno osservazioni sezionali, la procedura di Fama-MacBeth parte dalla stima di regressioni su dati sezionali: Si ottiene così una serie di stime dei coefficienti , ; la stima di Fama-MacBeth dei parametri e è data da una media delle stime: (it)
rdfs:label
  • Fama–MacBeth regression (en)
  • Regressione Fama-MacBeth (it)
  • ファーマ–マクベス回帰 (ja)
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