For many decades, time-series forecasting has been applied to different problems by scientists and industries. Many models have been introduced for the purpose of forecasting. These advancements have significantly improved the accuracy and reliability of predictions, especially in complex...

Scaling up private investment in Decentralised Renewable Energy (DRE) is crucial for achieving universal electricity access in sub-Saharan Africa. Tailored de-risking actions based on investors' risk perceptions can facilitate investment. However, current literature provides a fragmented...

This study introduces and validates a domain-specific investment risk-preference measure that integrates elements of revealed-preference tests, using choice scenario dyads, with stated-preference approaches that leverage individual experiences and perceptions. Data from two surveys were analyzed...

In this paper a new state model is introduced, an adaptative state model in a binary temporal representation (ASMBRT) as well as its application in constructing an algorithmic trading system. The presented model uses the binary temporal representation, which allows for a precise analysis of...

Digital currencies, including Bitcoins, Ethereum, and others, are an established alternative asset class opted by individual and institutional investors worldwide. However, this digital asset class carries several inherent risks. This study investigates the influence of three key risks,...

Investors with taxable portfolios sometimes delay the sale of appreciated stock to defer capital gains taxes. While this strategy does help to reduce taxes, it can cause the portfolio to become more concentrated over time, leading to higher overall volatility and lower long-term returns. This...

There is a large professional literature on the correct measurement of the funded status of and indicated employer contributions to government employee pension plans. But static measures do not provide a quantification of the risk that plans could represent in the future in various possible...

Using firm-level survey data combined with firm-level financial information, we investigate the effect of a subjective, firm-specific measure of uncertainty on firm investment and employment growth in the European Union. We find that uncertainty has an economically significant negative effect on...

Investments in energy technologies are substantially governed by climate policy. We demonstrate analytically that price-based instruments, such as carbon-taxes, and quantity-based regulations, like emission trading systems, have distinct effects on the (co-)variance of power plant profits. If...

Energy Markets and Financial Systems: Dynamics, Financialization, and Volatility Transmission -- Theoretical Foundations of Energy Finance: A Multidimensional Framework -- Volatility and Geopolitical Uncertainty in Oil Pricing: Empirical Insights from Major Global Shocks -- Brent Crude Under...

This paper uses the enactment of China’s 2007 Property Law (the Law), which reduces the risk of expropriation by local governments, as the setting to investigate the importance of property rights protection for private firm investment. Using propensity score matching and a...

Risk driver contributions are key to understanding portfolio risk. Often, this is done by decomposing portfolio ‘volatility’. This is problematic in the presence of non-elliptical distributions. Some asset managers propose switching to value-at-risk (VaR) or expected shortfall (ES) as risk...

In the case study, Mr. Sharma is a retail investor who has been investing in the Indian stock market for the past 10 years. Recently, he has been making emotional investment decisions and has fallen victim to a stock market scam.Scams in the Indian stock market can also be a concern for...

Thesis is a collection of three papers with several contributions to the optimisation of future pension plans for the long-term savers while minimising their investment risk. Since pillar aim is to improve the transparency of the pension funding, we develop investment strategies for individual...

We revisit the study of Cochrane (2005) to estimate the risk and return of venture capital investments with selection bias correction. We use an up-to-date dataset and enhance it to account for missing valuations using machine learning. We infer, with a median error of less than 4%, the true log...

Modern finance theory assumes that the stock market is efficient, and stock prices reflect all available information. However, behavioral finance theory argues that stock prices can be influenced by psychological and emotional factors. This study aims to examine the impact of behavioral finance...

This study proposes a structured product (SP) for hedging defined contribution pension fund members against capital market risk. Using Monte Carlo simulations on three different guaranteed returns to test the investment strategy of the SP against a balanced investment portfolio, we measure their...

In this paper, we study the optimal Ramsey taxation of capital and labor income as the wealth share of entrepreneurs increases. We first document a rising trend of entrepreneurs' wealth share in the United States using the Survey of Consumer Finance (SCF) data, then investigate how taxes for...

Applications of risk diversification strategies to conservation problems assume returns do not diminish with greater investment. Not accounting for diminishing returns may cause the allocation of investment to a single or limited target site, which may not reflect the fact that additional...

Introduction -- Evaluation of the efficiency of investment projects -- Capital Structure -- Capital Structure: Modigliani–Miller Theory -- The Modigliani–Miller theory with arbitrary frequency of payment of tax on profit -- Modification of the Modigliani–Miller Theory for the Case of...