Results 161 to 170 of about 255,462 (259)

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

open access: yesJournal 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   +2 more
wiley   +1 more source

On the Comovement of Contango and Backwardation Across Futures Commodity Markets

open access: yesJournal of Futures Markets, EarlyView.
ABSTRACT We examine the time‐varying nature of the comovement of the slope of the futures curve in major agricultural, metals and energy commodity futures markets in a Global Vector Autoregressive model. We find significant comovement between the slopes, indicating the co‐existence of backwardation and contango in many seemingly unrelated commodity ...
Angelo Luisi   +2 more
wiley   +1 more source

Quadratic Hedging of American Options Under GARCH Models

open access: yesJournal of Futures Markets, EarlyView.
ABSTRACT American options are widely traded in financial markets, yet there is a scarcity of literature on hedging in incomplete markets. In this paper, we derive optimal hedging ratios and option values using Local Risk Minimization (LRM) and Global Risk Minimization (GRM) hedging strategies through dynamic programming.
Junmei Ma, Chen Wang, Wei Xu
wiley   +1 more source

Analysing the Drivers of Cropland Footprint in Leading Agricultural Nations: Evidence From MMQR Approach

open access: yesGeological Journal, EarlyView.
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

Adherens junction protein expression is associated with poor response to neoadjuvant FLOT chemotherapy and pro‐inflammatory tumor microenvironment in esophageal adenocarcinoma

open access: yesInternational Journal of Cancer, EarlyView.
What's New? Esophageal adenocarcinoma (EAC) is an aggressive cancer with poor survival and variable response to perioperative chemotherapy. Although histopathological features correlate with outcomes, the relationship specifically between adherens junction (AJ) protein expression and treatment response in EAC remains uncertain.
Bastian Grothey   +8 more
wiley   +1 more source

Risk Transmission and Co‐Movements Between Financial Markets and Commodity Markets in the COVID‐19 Period

open access: yesInternational Journal of Finance &Economics, EarlyView.
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

Technological Evolution in Fintech: A Decadal Scientometric and Systematic Review of Developments and Criticisms

open access: yesInternational Journal of Finance &Economics, EarlyView.
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

Industry Portfolio Volatility Connections and Industry Portfolio Returns

open access: yesInternational Journal of Finance &Economics, EarlyView.
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

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