Results 231 to 240 of about 194,202 (306)

Does the registration system reform reduce the finance sector's risk spillover effect in China's stock market-Causal inference based on dual machine learning. [PDF]

PLoS One
Zhang Y, Li W, Dong S.
europepmc   +1 more source

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley   +1 more source

Flexible Target Prediction for Quantitative Trading in the American Stock Market: A Hybrid Framework Integrating Ensemble Models, Fusion Models and Transfer Learning. [PDF]

Entropy (Basel)
Yan K, Yue Z, Wu CC, He Q, Zhou J, Hao Z, Li Y.   +6 more
europepmc   +1 more source

Forecasting House Prices: The Role of Market Interconnectedness

Journal of Forecasting, EarlyView.
ABSTRACT While the existing research uncovers interconnections between various housing markets, it largely ignores the question of whether such linkages can improve house price predictions. To address this issue, we proceed in two steps. First, we forecast disaggregated house price growth rates from Australia and China to determine whether ...
Zac Chen, George Milunovich, Shuping Shi, Ben Wang   +3 more
wiley   +1 more source

Dynamic interdependence between consumer confidence and housing prices: Evidence from bootstrap rolling window causality tests. [PDF]

PLoS One
Guan Y, Su C, Wang Y.
europepmc   +1 more source

Exploring the Nexus Between Sustainability Index and Central European Stock Markets Competitiveness: Evidence Through Time–Frequency Analysis and SHAP

Journal of Forecasting, EarlyView.
ABSTRACT Sustainability has become an important factor shaping financial markets and investor behavior. This paper examines the relationship between sustainability indices and Central European stock markets using a time–frequency approach. Wavelet coherence is employed to capture time‐varying co‐movements between sustainability indices and stock market
Zuzana Janková, Dipak Kumar Jana, Michal Páleš, Elena Fleaca, Petr Dostál   +4 more
wiley   +1 more source

Modeling and forecasting Saudi banking stability using ARIMA and exponential smoothing technique. [PDF]

Front Artif Intell
Alnajjar A, Assous HF, Al-Najjar H.
europepmc   +1 more source

Forecasting Volatility of Commodity, Currency, and Stock Markets: Evidence From Markov‐Switching Multifractal Models

Journal of Forecasting, EarlyView.
ABSTRACT This paper adopts a bivariate Markov‐switching multifractal (BMSM) model to reexamine comovement in SV between commodity, foreign exchange (FX), and stock markets. After the 2007–2008 global financial crisis understanding volatility linkages and the correlation structure between these markets becomes very important for risk analysts, portfolio
Ruipeng Liu, Mawuli Segnon, Oguzhan Cepni, Rangan Gupta   +3 more
wiley   +1 more source

Predicting stock returns using machine learning combined with data envelopment analysis and automatic feature engineering: A case study on the Vietnamese stock market. [PDF]

PLoS One
Thanh Nhon H, Do-Thi N, Nguyen-Trang T.
europepmc   +1 more source