Semiparametric (Distribution-Free) Testing of the Expectations Hypothesis in a Parimutuel Gambling Market
彩池博彩市场中预期假说的半参数(分布无关)检验AI 解读 ↓
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AI 根据所提供的论文材料归类:摘要明确围绕预期假说及资产定价检验展开,并将博彩市场类比于投机资产市场,因此选择资产定价方向。
彩池博彩市场中预期假说的半参数(分布无关)检验AI 解读 ↓
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The expectations hypothesis maintains that a current forward or futures price should be an unbiased forecast of the expected future price. This paper tests the expectations hypothesis in the parimutuel gambling market for greyhound racing parametric and semiparametric estimators. Parimutuel gambling markets are similar to speculative asset markets in many regards. Conventional maximum likelihood tests of asset pricing require a priori specification of the statistical distribution governing agents' expectations. Distributional misspecification may bias conventional tests. The semiparametric estimators applied in this paper overcome these problems and, in addition, maintain consistency under heteroscedasticity. The results reject the expectations hypothesis.