This paper provides an analysis on the emergence of new technologies in the financial
industry and their application to financial and investment activities, where organizations are …

The intersection of finance and technology, known as fintech, has resulted in the dramatic
growth of innovations and has changed the entire financial landscape. While fintech has a …

This study discusses biochar and machine learning application. Concept of biochar,
machine learning and different machine learning algorithms used for predicting adsorption …

Successful investment strategies are specific implementations of general theories. An
investment strategy that lacks a theoretical justification is likely to be false. Hence, an asset …

Abstract Machine learning offers a set of powerful tools that holds considerable promise for
investment management. As with most quantitative applications in finance, the danger of …

Deep Reinforcement Learning (DRL) algorithms can scale to previously intractable
problems. The automation of profit generation in the stock market is possible using DRL, by …

Most textual analysis-based trading approaches in cryptocurrency (crypto) involve lexical,
rule-based methods for extracting news sentiments. Furthermore, language models (LMs) …

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The emerging literature suggests that machine learning (ML) is beneficial in many asset
pricing applications because of its ability to detect and exploit nonlinearities and interaction …

The main idea of this article is to approach and compare factor and asset allocation
portfolios using both traditional and alternative allocation techniques: inverse variance …