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Testing for monotonicity in expected asset returns
Romano, Joseph P.; Wolf, Michael - In: Journal of empirical finance 23 (2013), pp. 93-116
Persistent link: https://www.econbiz.de/10010221769
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A robust test for monotonicity in asset returns
Taufemback, Cleiton Guollo; Troster, Victor; Shahbaz, … - In: Journal of time series econometrics 14 (2022) 1, pp. 1-24
Persistent link: https://www.econbiz.de/10013260108
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A bibliometric analysis of machine learning econometrics in asset pricing
Zapata, Hector O.; Mukhopadhyay, Supratik - In: Journal of risk and financial management : JRFM 15 (2022) 11, pp. 1-17
Machine learning (ML) is a novel method that has applications in asset pricing and that fits well within the problem of measurement in economics. Unlike econometrics, ML models are not designed for parameter estimation and inference, but similar to econometrics, they address, and may be better...
Persistent link: https://www.econbiz.de/10013475217
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Stock market reactions to Brexit : case of selected CEE and SEE stock markets
Škrinjarić, Tihana - In: International Journal of Financial Studies : open … 7 (2019) 1/7, pp. 1-14
The debate on the UK leaving the European Union is still hot and ongoing today due to many economic, political, social, and other consequences on many different countries over the world. This paper focuses on the reactions of selected Central and Eastern European (CEE) and South and Eastern...
Persistent link: https://www.econbiz.de/10011964063
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Sampling interval and estimated betas: Implications for the presence of transitory components in stock prices
Perron, Pierre; Chun, Sungju; Vodounou, Cosme - In: Journal of Empirical Finance 20 (2013) C, pp. 42-62
We provide a theoretical framework to explain the empirical finding that the estimated betas are sensitive to the sampling interval even when using continuously compounded returns. We suppose that stock prices have both permanent and transitory components. The discrete time representation of the...
Persistent link: https://www.econbiz.de/10011042120
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An improved test for statistical arbitrage
Jarrow, Robert; Teo, Melvyn; Tse, Yiu Kuen; Warachka, Mitch - In: Journal of Financial Markets 15 (2012) 1, pp. 47-80
We improve upon the power of the statistical arbitrage test in Hogan, Jarrow, Teo, and Warachka (2004). Our methodology also allows for the evaluation of return anomalies under weaker assumptions. We then compare strategies based on their convergence rates to arbitrage and identify strategies...
Persistent link: https://www.econbiz.de/10010572952
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Long-horizon asset and portfolio returns revisited : evidence from US markets
Tri Hoang - In: Cogent business & management 10 (2023) 2, pp. 1-16
This study revisits the widely used assumptions in long-term asset allocation: the normal distribution of long-horizon returns and the negligible impacts of estimation errors on the expected returns. This study uses the innovative simulation method of Fama and French (2018) for horizons of up to...
Persistent link: https://www.econbiz.de/10014503297
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A Non-Parametric Test of the Conditional CAPM for the Mexican Economy
Castillo-Spíndola, Jorge H. del - In: Estudios Económicos 21 (2006) 2, pp. 275-297
widely used is the Sharpe-Lintner-Black Capital Asset Pricing Model (CAPM). However many anomalies and evidence against this … version have been presented. To assume that the CAPM holds in a conditional sense is to assume that the betas and the market … risk premium vary along time. We present a test of the conditional version of the CAPM for the Mexican economy, that uses a …
Persistent link: https://www.econbiz.de/10005434714
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The effect of government decisions on the efficiency of the investment funds market in Poland
Witkowska, Dorota; Kompa, Krzysztof; Mentel, Grzegorz - In: Journal of business economics and management 20 (2019) 3, pp. 573-594
Polish government introduced crucial changes concerning conditions of the pension funds functioning in the years 2011-2014. This article focuses on explaining the impact of these political decisions on efficiency of investment fund market in Poland. Therefore, the article aims (1) to find out if...
Persistent link: https://www.econbiz.de/10012175765
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Can deep neural networks outperform Fama-MacBeth regression and other supervised learning approaches in stock returns prediction with asset-pricing factors?
Teng, Huei-Wen; Li, Yu-Hsien - In: Digital finance : smart data analytics, investment … 5 (2023) 1, pp. 149-182
Persistent link: https://www.econbiz.de/10014251571