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...

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...

The financial environment is under great pressure as a result of dynamically changing macroeconomic factors. In this situation, full of uncertainty, understanding the relationship between macroeconomic factors and financial markets becomes a key issue. Market analysts and investors are...

The transition to a net-zero energy system requires large-scale integration of variable renewables, increasing demand for flexibility beyond short-term batteries and seasonal hydrogen. Emerging storage technologies feature cost structures that position them between these options, offering...

The financial environment is under great pressure as a result of dynamically changing macroeconomic factors. In this situation, full of uncertainty, understanding the relationship between macroeconomic factors and financial markets becomes a key issue. Market analysts and investors are...

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...

The transition to a net-zero energy system requires large-scale integration of variable renewables, increasing demand for flexibility beyond short-term batteries and seasonal hydrogen. Emerging storage technologies feature cost structures that position them between these options, offering...

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...

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...

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,...

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...

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...

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...

The central issue of this paper is analysis and resulting proposals to help unsophisticated pension participants achieve pension portfolios that match their level of risk aversion when there is a large amount of unexplained heterogeneity in risk aversion. Target date funds are commonly used as...

Chapter 1:Introduction -- Chapter 2:The Vocabulary of Medical Ventures -- Chapter 3:Why Medical Innovation is so Difficult -- Chapter 4:Minimizing Decision-Making Biases -- Chapter 5:Decision-Making Using a Scientific Approach -- Chapter 6:Mapping Decision-Related Problems in Medical Innovations...

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...

The aim of this study is to examine whether investment risk is related to the managerial factors characterising portfolio managers. The study employs four risk measures and a set of individual manager characteristics, including socio-demographic variables determining a manager profile. The...

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...