Financial support was received from Grant TED2021-129316B-I00 funded by MCIN/AEI/10.13039/501100011033 as appropriate,by the“European Union NextGenerationEU/PRTR”;Grant PID2021-123592OB-I00 funded by MCIN/AEI/10.13059/501100011033 and,as appropriate,by“ERDF A way of making Europe”.
Strategic portfolios are asset combinations designed to achieve investor objectives.A unique feature of these investments is that portfolios must be rebalanced periodically to maintain the initially established struct...
International portfolio management is influenced by the existence of“frictions”,factors or events that interfere with trade,which are linked in financial literature to market-specific factors,such as available infor...
We used daily return series for three pairs of datasets from the crude oil markets(WTI and Brent),stock indices(the Dow Jones Industrial Average and S&P 500),and benchmark cryptocurrencies(Bitcoin and Ethereum)to exam...
One of the authors(Jian Huang)received research support from Towson University,for this research.
This study employs a fixed-effects model to investigate the holiday effect in the cryptocurrency market,using trading data for the top 100 cryptocurrencies by market capitalization on Coinmarketcap.com from January 1,...
the funding provided by the Galician Regional Government[ED431C 2020/18];co-funded by the European Regional Development Fund(ERDF/FEDER)within the period 2020-2023.
This study developed several machine learning models to predict defaults in the invoice-trading peer-to-business(P2B)market.Using techniques such as logistic regression,conditional inference trees,random forests,suppo...
supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea(NRF-2022S1A5A2A01044485).
In the blockchain world,proof-of-work is the dominant protocol mechanism that determines the consensus of the ledger.The hashrate,a measure of the computational power directed toward securing a blockchain through proo...
This paper examines the dynamics of the asymmetric volatility spillovers across four major cryptocurrencies comprising nearly 61% of cryptocurrency market capitalization and covering both conventional(Bitcoin and Ethe...
In the field of empirical asset pricing,the challenges of high dimensionality,non-linear relationships,and interaction effects have led to the increasing popularity of machine learning(ML)methods.This study investigat...
This study examines the relationship between macroeconomic variables and stock price indices of four prominent OPEC oil-exporting members.Bayesian model averaging(BMA)and regularized linear regression(RLR)are employed...
This study examines the nexus between the good and bad volatilities of three technological revolutions—financial technology(FinTech),the Internet of Things,and artificial intelligence and technology—as well as the t...