Empirical Finance
Hamori, Shigeyuki
Empirical Finance - MDPI - Multidisciplinary Digital Publishing Institute 2019 - 1 electronic resource (276 p.)
Open Access
There is no denying the role of empirical research in finance and the remarkable progress of empirical techniques in this research field. This Special Issue focuses on the broad topic of "Empirical Finance" and includes novel empirical research associated with financial data. One example includes the application of novel empirical techniques, such as machine learning, data mining, wavelet transform, copula analysis, and TV-VAR, to financial data. The Special Issue includes contributions on empirical finance, such as algorithmic trading, market efficiency, market microstructure, portfolio theory and asset allocation, asset pricing models, liquidity risk premium, currency crisis, return predictability, and volatility modeling.
Creative Commons
English
books978-3-03897-707-0 9783038977063
10.3390/books978-3-03897-707-0 doi
n/a short-term forecasting wavelet transform IPO volatility US dollar institutional investors' shareholdings neural network financial market stress market microstructure text similarity TVP-VAR model Japanese yen convolutional neural networks global financial crisis deep neural network cross-correlation function boosting causality-in-variance flight to quality bagging earnings quality algorithmic trading stop loss statistical arbitrage ensemble learning liquidity risk premium gold return futures market take profit currency crisis spark spread city banks piecewise regression model financial and non-financial variables exports data mining latency crude oil futures prices forecasting random forests wholesale electricity SVM random forest bank credit deep learning Vietnam inertia MACD initial public offering text mining bankruptcy prediction exchange rate asset pricing model LSTM panel data model structural break credit risk housing and stock markets copula ARDL earnings manipulation machine learning natural gas housing price asymmetric dependence real estate development loans earnings management cointegration predictive accuracy robust regression quantile regression dependence structure housing loans price discovery utility of international currency ATR
Empirical Finance - MDPI - Multidisciplinary Digital Publishing Institute 2019 - 1 electronic resource (276 p.)
Open Access
There is no denying the role of empirical research in finance and the remarkable progress of empirical techniques in this research field. This Special Issue focuses on the broad topic of "Empirical Finance" and includes novel empirical research associated with financial data. One example includes the application of novel empirical techniques, such as machine learning, data mining, wavelet transform, copula analysis, and TV-VAR, to financial data. The Special Issue includes contributions on empirical finance, such as algorithmic trading, market efficiency, market microstructure, portfolio theory and asset allocation, asset pricing models, liquidity risk premium, currency crisis, return predictability, and volatility modeling.
Creative Commons
English
books978-3-03897-707-0 9783038977063
10.3390/books978-3-03897-707-0 doi
n/a short-term forecasting wavelet transform IPO volatility US dollar institutional investors' shareholdings neural network financial market stress market microstructure text similarity TVP-VAR model Japanese yen convolutional neural networks global financial crisis deep neural network cross-correlation function boosting causality-in-variance flight to quality bagging earnings quality algorithmic trading stop loss statistical arbitrage ensemble learning liquidity risk premium gold return futures market take profit currency crisis spark spread city banks piecewise regression model financial and non-financial variables exports data mining latency crude oil futures prices forecasting random forests wholesale electricity SVM random forest bank credit deep learning Vietnam inertia MACD initial public offering text mining bankruptcy prediction exchange rate asset pricing model LSTM panel data model structural break credit risk housing and stock markets copula ARDL earnings manipulation machine learning natural gas housing price asymmetric dependence real estate development loans earnings management cointegration predictive accuracy robust regression quantile regression dependence structure housing loans price discovery utility of international currency ATR