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Fortgeschrittene technische Indikatoren am Aktienmarkt: Eine empirische Analyse
Hornbach, Christian; Hellenkamp, André - 2011
Persistent link: https://www.econbiz.de/10010475190
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Profiteering from the Dot-com Bubble, Sub-Prime Crisis and Asian Financial Crisis
McAleer, Michael; Suen, John; Wong, Wing Keung - 2013
This paper explores the characteristics associated with the formation of bubbles that occurred in the Hong Kong stock market in 1997 and 2007, as well as the 2000 dot-com bubble of Nasdaq. It examines the profitability of Technical Analysis (TA) strategies generating buy and sell signals with...
Persistent link: https://www.econbiz.de/10010326340
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Forecasting volatility and volume in the Tokyo stock market: Long memory, fractality and regime switching
Lux, Thomas; Kaizoji, Taisei - 2006
We investigate the predictability of both volatility and volume for a large sample of Japanese stocks. The particular … practically always improves upon the na?ve forecast provided by historical volatility. As a somewhat surprising result, we also …
Persistent link: https://www.econbiz.de/10010294979
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Forecasting volatility and volume in the Tokyo stock market: The advantage of long memory models
Lux, Thomas; Kaizoji, Taisei - 2004
We investigate the predictability of both volatility and volume for a large sample of Japanese stocks. The particular … practically always improves upon the na?ve forecast provided by historical volatility. As a somewhat surprising result, we also …
Persistent link: https://www.econbiz.de/10010295136
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Forecasting volatility in European stock markets with non-linear GARCH models
Forte, Gianfranco; Manera, Matteo - 2002
This paper investigates the forecasting performance of three popular variants of the non-linear GARCH models, namely VS-GARCH, GJR-GARCH and Q-GARCH, with the symmetric GARCH(1,1) model as a benchmark. The application involves ten European stock price indexes. Forecasts produced by each...
Persistent link: https://www.econbiz.de/10011335762
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Modelling high-frequency volatility and liquidity using multiplicative error models
Hautsch, Nikolaus; Jeleskovic, Vahidin - 2008
In this paper, we study the dynamic interdependencies between high-frequency volatility, liquidity demand as well as …. Liquidity is causal for future volatility but not vice versa. Furthermore, trade sizes are negatively driven by past trading …
Persistent link: https://www.econbiz.de/10010263738
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Asymmetry in volatility: A comparison of developed and transition stock markets
Wdowiński, Piotr; Malecka, Marta - 2010
describe the most typical features of capital markets like volatility clustering, excess kurtosis and fat tails. As empirical … evidence shows asymmetry is also a prominent feature of stock market returns volatility. The reaction of risk if stock returns …
Persistent link: https://www.econbiz.de/10010270556
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News reaction in financial markets within a behavioral finance model with heterogeneous agents
Fischer, Thomas - 2011
This paper presents a Heterogeneous Agent Model of a financial market with chartist and fundamentalist traders that exhibit bounded rationality and short-term thinking to explain the effect of under and overreaction to news. The existence of the Market Maker's finite price adjustment speed leads...
Persistent link: https://www.econbiz.de/10010323743
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A multiple factor model for European stocks
Stephan, Thomas G.; Maurer, Raimond; Dürr, Martin - 2000
We present an empirical study focusing on the estimation of a fundamental multi-factor model for a universe of European stocks. Following the approach of the BARRA model, we have adopted a cross-sectional methodology. The proportion of explained variance ranges from 7.3% to 66.3% in the weekly...
Persistent link: https://www.econbiz.de/10010316262
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Stochastic volatility models: Conditional normality versus heavy tailed distributions
Liesenfeld, Roman; Jung, Robert C. - 1997
Most of the empirical applications of the stochatic volatility (SV) model are based on the assumption that the … conditional distribution of returns given the latent volatility process is normal. In this paper the SV model based on a … choice of the conditional distribution has systematic effects on the parameter estimates of the volatility process. …
Persistent link: https://www.econbiz.de/10010435553