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Ashish Sedai, Rabin Dhakal, Shishir Gautam, Anibesh Dhamala, Argenis Bilbao, Qin Wang, Adam Wigington and Suhas Pol
The Machine Learning/Deep Learning (ML/DL) forecasting model has helped stakeholders overcome uncertainties associated with renewable energy resources and time planning for probable near-term power fluctuations. Nevertheless, the effectiveness of long-te...
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Kim Long Tran, Hoang Anh Le, Cap Phu Lieu and Duc Trung Nguyen
Financial bubble prediction has been a significant area of interest in empirical finance, garnering substantial attention in the literature. This study aims to detect and forecast financial bubbles in the Vietnamese stock market from 2001 to 2021. The PS...
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Nassar S. Al-Nassar
This study contributes to the ongoing debate on the size effect and size-based investment styles by investigating the return and volatility spillovers and time-varying conditional correlations among Saudi large-, mid-, and small-cap indices. To this end,...
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Romeo Victor Ionescu, Costinela Fortea, Monica Laura Zlati and Valentin Marian Antohi
Since we are living in a time of multiple crises and geopolitical unrest, it is important to look at how monetary aggregates affect the real economy. This will help us figure out how uncertainty affects the economy and come up with more stable financial ...
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Lenka Stryckova
Financial decision making in family companies is a topical issue that has arisen from an awareness of the significant impact of family businesses on the economies of individual countries. This article deals with the capital structure and business perform...
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