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Sparse Multivariate Modeling for Stock Returns Predictability
Bernardi, Mauro; Bianchi, Daniele; Bianco, Nicolas - 2021
We develop a new variational Bayes estimation method for large-dimensional sparse vector autoregressive models with …
Persistent link: https://www.econbiz.de/10013239660
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Forecasting Stock Returns with Model Uncertainty and Parameter Instability
Zhang, Hongwei - 2019
We compare several representative sophisticated model averaging and variable selection techniques of forecasting stock returns. When estimated traditionally, our results confirm that the simple combination of individual predictors is superior. However, sophisticated models improve dramatically...
Persistent link: https://www.econbiz.de/10012901029
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Estimating the volatility of asset pricing factors
Becker, Janis; Leschinski, Christian - 2018 - This version: May 20, 2018
Models based on factors such as size, value, or momentum are ubiquitous in asset pricing. Therefore, portfolio allocation and risk management require estimates of the volatility of these factors. While realized volatility has become a standard tool for liquid individual assets, this measure is...
Persistent link: https://www.econbiz.de/10011860248
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Forecasting Stock Returns
Rapach, David; Zhou, Guofu - 2023
We survey the literature on stock return forecasting, highlighting the challenges faced by forecasters as well as strategies for improving return forecasts. We focus on U.S. equity premium forecastability and illustrate key issues via an empirical application based on updated data. Some studies...
Persistent link: https://www.econbiz.de/10014351279
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A latent dynamic factor approach to forecasting multivariate stock market volatility : conference paper
Gribisch, Bastian - 2013
This paper proposes a latent dynamic factor model for low- as well as high-dimensional realized covariance matrices of stock returns. The approach is based on the matrix logarithm and allows for flexible dynamic dependence patterns by combining common latent factors driven by HAR dynamics and...
Persistent link: https://www.econbiz.de/10010341025
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On the correlation between commodity and equity returns : implications for portfolio allocation
Lombardi, Marco; Ravazzolo, Francesco - 2013
Persistent link: https://www.econbiz.de/10009782578
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What Our Market Return Forecasts Really Mean : Convexity in Equity Returns and its Implications for Investment Sizing
Haghani, Victor - 2019
You're probably familiar, at least in passing, with the 'convexity' of long-term bonds - i.e. that yields dropping 1% produce a bigger price move than yields rising 1%. A significant amount of brainpower has gone into understanding all the ramifications of this convexity in the fixed income...
Persistent link: https://www.econbiz.de/10012902324
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Return and risk of pairs trading using a simulation-based Bayesian procedure for predicting stable ratios of stock prices
Gatarek, Lukasz; Hoogerheide, Lennart F.; Dijk, Herman … - 2014
has for the selection of pairs of cointegrated stock prices and for the estimation and prediction of the spread between … estimation and prediction of the spread - the deviation from the equilibrium relationship - which leads to better results in …
Persistent link: https://www.econbiz.de/10010259626
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Return and risk of pairs trading using a simulation-based Bayesian procedure for predicting stable ratios of stock prices
Ardia, David; Gatarek, Lukasz T.; Hoogerheide, Lennart; … - In: Econometrics : open access journal 4 (2016) 1, pp. 1-19
model. Using this class of models and the proposed inferential technique, we are able to connect estimation and model … cointegrated stock prices and further, its effect for the estimation and prediction of the spread between cointegrated stock prices … the estimation and prediction of the spread-the deviation from the equilibrium relationship-which leads to better results …
Persistent link: https://www.econbiz.de/10011505854
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Return and Risk of Pairs Trading Using a Simulation-Based Bayesian Procedure for Predicting Stable Ratios of Stock Prices
Gatarek, Lukasz T. - 2014
model. Using this class of models and the proposed inferential technique, we are able to connect estimation and model … cointegrated stock prices and further, its effect for the estimation and prediction of the spread between cointegrated stock prices … normalization for the estimation and prediction of the spread — the deviation from the equilibrium relationship — which leads to …
Persistent link: https://www.econbiz.de/10013056713