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across markets, with the highest correlation of 93.5% between the two Chinese markets, medium correlation of 30% between … correlations from the DCC model suggest an increase in correlation between China and other stock markets since the most recent …
Persistent link: https://www.econbiz.de/10011296721
by studying correlation based networks and spectral properties of the correlation matrix. The study is performed by using … that is spanning more than 40 years. We show that the correlation between industry indices presents both a fast and a slow … time period. By investigating the correlation dynamics monthly, we are able to detect two examples of fast variations in …
Persistent link: https://www.econbiz.de/10013080286
We study the correlation between pairs of bond and stock markets in Canada and the United States between January 1998 …
Persistent link: https://www.econbiz.de/10009409360
Correlation Model.” The sovereign credit risk of Russia, changes in exchange rates and changes in world energy prices were …
Persistent link: https://www.econbiz.de/10013138532
Persistent link: https://www.econbiz.de/10012814053
relations between six important world markets - U.S., U.K., Germany, Japan, China and India from January 2000 until December … interdependencies between these markets and the developing "eastern'' markets (India and China) are very volatile and with noticeable …
Persistent link: https://www.econbiz.de/10009354737
Persistent link: https://www.econbiz.de/10012669888
economies and emerging market economies (EMEs) over 2007 - 2015, we document the correlation of VRPs across the markets and … correlation. In terms of volatility contagion, we find that an increase in VRPs in the United States significantly reduces equity …
Persistent link: https://www.econbiz.de/10011522100
This paper aims to forecast the Market Risk premium (MRP) in the US stock market by applying machine learning techniques, namely the Multilayer Perceptron Network (MLP), the Elman Network (EN) and the Higher Order Neural Network (HONN). Furthermore, Univariate ARMA and Exponential Smoothing...
Persistent link: https://www.econbiz.de/10011454074
This paper examines the evidence regarding predictability in the market risk premium using artificial neural networks (ANNs), namely the Elman Network (EN) and the Higher Order Neural network (HONN), univariate ARMA and exponential smoothing techniques, such as Single Exponential Smoothing (SES)...
Persistent link: https://www.econbiz.de/10011454082