Results 181 to 190 of about 387,199 (302)
Nowcasting World Trade With Machine Learning: A Three‐Step Approach
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 +2 more
wiley +1 more source
Cognitive fatigue from schema rigidity and entropy externalization: a free energy principle perspective. [PDF]
Ezzedini S.
europepmc +1 more source
ABSTRACT Climate change represents the biggest current challenge for us and for future generations. Its impact on agriculture is undeniable, considering the food security goal. Thus, the cropland footprint has been distinguished as a comprehensive index for assessing the impact of environmental changes in agricultural areas determined by the increased ...
Ibrahim Cutcu, Magdalena Radulescu
wiley +1 more source
Relationship between insulin resistance surrogate markers with diabetes and dyslipidemia: A Bayesian network analysis of Korean adults. [PDF]
Choi J, Kim J, Oh HS.
europepmc +1 more source
ABSTRACT This study examines risk transmission and co‐movements between financial markets (G7 countries and China) and commodity markets (gold and oil) during the COVID‐19 crisis. Daily closing prices for major equity indices (CAC40, CSI300, DAX30, FTSE100, MIB, NIKKEI, TSX and S&P500) and futures prices for gold, brent and WTI were analysed using DCC ...
V. Moutinho +3 more
wiley +1 more source
ABSTRACT This study aims to classify pivotal fintech innovations and explore the prospects and pitfalls associated with emerging fintech services extensively discussed in the literature. We conducted a multistage systematic review of research published on fintech over the past decade from a technological perspective. Using the Preferred Reporting Items
Muhammad Imran Qureshi, Nohman Khan
wiley +1 more source
Leveraging Deep Learning, Grid Search, and Bayesian Networks to Predict Distant Recurrence of Breast Cancer. [PDF]
Jiang X, Zhou Y, Wells A, Brufsky A.
europepmc +1 more source
Industry Portfolio Volatility Connections and Industry Portfolio Returns
ABSTRACT This paper tracks dynamic connections that form among daily US industry portfolio return volatilities using a Bayesian time‐varying parameter VAR model. Market participants often focus on sectors to filter vast amounts of information, and this focus results in cross‐industry return predictability. We characterise connections that form over the
Michael Ellington +2 more
wiley +1 more source
How to determine the boundaries of the mind: a Markov blanket proposal
Michael D. Kirchhoff, J. Kiverstein
semanticscholar +1 more source
How Is FinTech Shaping Household Portfolio Behaviour?
ABSTRACT This paper examines how FinTech adoption influences household portfolio allocation across major advanced economies. Using a flow‐of‐funds framework and the Almost Ideal Demand System (AIDS), we model household demand for currency, deposits, loans, debt securities, and equity in the United States, United Kingdom, Euro Area, Japan and Australia.
Victor Murinde, Athina Petropoulou
wiley +1 more source

