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Predictions, nonlinearities and portfolio choice : applications of artificial neural networks to German market indexes
Kruse, Friedrich Christian - 2012 - 1. Aufl
Persistent link: https://www.econbiz.de/10009628440
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Essays on micromotives and macrobehavior, expectation formation, and asset price dynamics
Ghonghadze, Jaba - 2013
Persistent link: https://www.econbiz.de/10009706287
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Stock return predictability and variance risk premia : statistical inference and international evidence
Bollerslev, Tim; Marrone, James; Xu, Lai; Zhou, Hao - 2011
Persistent link: https://www.econbiz.de/10009406434
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Essays on empirical asset pricing and investor behavior
Westheide, Christian - 2011
Persistent link: https://www.econbiz.de/10009412402
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The granularity of the stock market : forecasting aggregate returns using firm-level data
Schiaffi, Stefano - In: Rivista di politica economica 102 (2013) 10/12, pp. 141-169
Persistent link: https://www.econbiz.de/10010245548
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Implied volatility smirk and future stock returns : evidence from the German market
Mo, Di; Todorova, Neda; Gupta, Rakesh - In: Managerial finance 41 (2015) 12, pp. 1357-1379
Persistent link: https://www.econbiz.de/10011504242
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State dependence of aggregated risk aversion : evidenve for the German stock market
Hansen, Marc; Herwartz, Helmut; Rengel, Malte - In: Journal of applied economics 17 (2014) 2, pp. 257-281
Persistent link: https://www.econbiz.de/10011554687
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Stock return predictability and variance risk premia : statistical inference and international evidence
Bollerslev, Tim; Marrone, James; Xu, Lai; Zhou, Hao - In: Journal of financial and quantitative analysis : JFQA 49 (2014) 3, pp. 633-661
Persistent link: https://www.econbiz.de/10010487089
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Risk measurement with a safety belt : Pareto meets Chebyshev
Tödter, Karl-Heinz - In: Kredit und Kapital 45 (2012) 2, pp. 175-187
Persistent link: https://www.econbiz.de/10009580916
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Nichtparametrische Quantilsprognose und ihre Anwendung auf Aktienrenditen
Abberger, Klaus - 1995
In diesem Aufsatz wird die nichtparametrische Autoregression auf die Prognose von Quantilen angewendet. Verfahren der Kernregression werden benutzt, um zu autoregressiven Quantiisschätzern zu gelangen. Da die üblichen Maße zur Beurteilung der Prognose, wie etwa der mittlere quadratische...
Persistent link: https://www.econbiz.de/10009681115