Results 241 to 250 of about 537,224 (311)

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

Coupled modular simplicial graph neural network with snow ablation optimization for real-time fraud detection in payment systems. [PDF]

Sci Rep
Ramoju VCS, Biswal S, Kotecha K, Pandurangan KP, Parashar N.   +4 more
europepmc   +1 more source

Regime‐Dependent Nowcasting of the Austrian Economy

Journal of Forecasting, EarlyView.
ABSTRACT We nowcast and forecast economic activity in Austria, namely, real gross domestic product (GDP), consumption, and investment, which are available at a quarterly frequency, using a preselected number of monthly indicators based on a combination of statistical procedures.
Jaroslava Hlouskova, Ines Fortin
wiley   +1 more source

Leaders in the global banking network: Analysis of the Bank for International Settlements network data. [PDF]

PLoS One
Bonato A, Palan JC, Szava A.
europepmc   +1 more source

The Impact of Uncertainty on Forecasting the US Economy

Journal of Forecasting, EarlyView.
ABSTRACT This paper examines the predictive value of uncertainty measures for key macroeconomic indicators across multiple forecast horizons. We evaluate how different uncertainty proxies—economic policy uncertainty (EPU), VIX, geopolitical risk, and measures of macroeconomic and financial uncertainty—enhance forecast accuracy for industrial production,
Angelica Ghiselli
wiley   +1 more source

Digital transformation and liquidity creation in commercial banks: Evidence from the Chinese banking industry. [PDF]

PLoS One
Wen W, Liang Y.
europepmc   +1 more source

Nowcasting World Trade With Machine Learning: A Three‐Step Approach

Journal of Forecasting, EarlyView.
ABSTRACT We nowcast world trade using machine learning, distinguishing between tree‐based methods (random forest and gradient boosting) and their linear‐regression‐based counterparts (macroeconomic random forest and gradient boosting—linear). While much less used in the literature, the latter are found to outperform not only the tree‐based techniques ...
Menzie Chinn, Baptiste Meunier, Sebastian Stumpner   +2 more
wiley   +1 more source

Bank complexity and core competence of commercial banks in Vietnam: The buffer role of corporate social responsibility. [PDF]

PLoS One
Phung HQ, Duong KD, Truong PH, Pham AQ, Le HTP.   +4 more
europepmc   +1 more source

IFRS 9 and procyclicality of loan loss provision among Chinese regional banks, the role of local leaders' turnover. [PDF]

PLoS One
Yu J, Abdullah M, Md Nor H.
europepmc   +1 more source