Exchange rate predictability
B Rossi - Journal of economic literature, 2013 - aeaweb.org
The main goal of this article is to provide an answer to the question: does anything forecast
exchange rates, and if so, which variables? It is well known that exchange rate fluctuations …
exchange rates, and if so, which variables? It is well known that exchange rate fluctuations …
Advances in forecast evaluation
T Clark, M McCracken - Handbook of economic forecasting, 2013 - Elsevier
This chapter surveys recent developments in the evaluation of point forecasts. Taking West's
(2006) survey as a starting point, we briefly cover the state of the literature as of the time of …
(2006) survey as a starting point, we briefly cover the state of the literature as of the time of …
Forecasting crude oil prices with a large set of predictors: Can LASSO select powerful predictors?
Y Zhang, F Ma, Y Wang - Journal of Empirical Finance, 2019 - Elsevier
In this paper, we use two prevailing shrinkage methods, the lasso and elastic net, to predict
oil price returns with a large set of predictors. The out-of-sample results indicate that the …
oil price returns with a large set of predictors. The out-of-sample results indicate that the …
Geopolitical risk and oil volatility: A new insight
J Liu, F Ma, Y Tang, Y Zhang - Energy Economics, 2019 - Elsevier
Motivated by the importance of geopolitical risk and its possible predictive power for oil
volatility, this paper aims to quantitatively investigate the role of geopolitical risk (GPR) …
volatility, this paper aims to quantitatively investigate the role of geopolitical risk (GPR) …
Manager sentiment and stock returns
This paper constructs a manager sentiment index based on the aggregated textual tone of
corporate financial disclosures. We find that manager sentiment is a strong negative …
corporate financial disclosures. We find that manager sentiment is a strong negative …
Investor sentiment aligned: A powerful predictor of stock returns
We propose a new investor sentiment index that is aligned with the purpose of predicting the
aggregate stock market. By eliminating a common noise component in sentiment proxies …
aggregate stock market. By eliminating a common noise component in sentiment proxies …
Geopolitical risk uncertainty and oil future volatility: Evidence from MIDAS models
Using a textual analysis based geopolitical risk (GPR) index, this paper exploits the effects of
geopolitical risk uncertainty on oil futures price volatility within a mixed data sampling …
geopolitical risk uncertainty on oil futures price volatility within a mixed data sampling …
The role of green energy stock market in forecasting China's crude oil market: An application of IIS approach and sparse regression models
This study investigates the effectiveness of sparse regression models with their diverse
specifications and the impulse indicator saturation (IIS) method in forecasting crude oil …
specifications and the impulse indicator saturation (IIS) method in forecasting crude oil …
[HTML][HTML] Global financial stress index and long-term volatility forecast for international stock markets
C Liang, Q Luo, Y Li, LDT Huynh - Journal of International Financial …, 2023 - Elsevier
In this study, we examine the long-term predictive role of the global financial stress index
(GFSI) on equity market volatility and provide a comprehensive analysis using GFSI for the …
(GFSI) on equity market volatility and provide a comprehensive analysis using GFSI for the …