In software development and IT infrastructure, two types of 'debts' often come into play: technical debt and data debt. Both can have significant implications for businesses and, by extension, investors. Understanding these concepts is crucial for making informed investment decisions in the technology sector. The advent of AI-generated code and the use of synthetic data have revolutionized the technology landscape. While these advancements offer significant benefits, they

Circular causality , also known as circular reasoning or feedback loops, is a concept that is particularly relevant in the field of economics and investing. It refers to situations where the cause and effect influence each other in a circular manner, creating a loop of interactions. Understanding circular causality is crucial for investors as it can help them make more informed decisions by recognizing patterns and anticipating market dynamics. Definition and Concept Circu

In the world of investing, understanding the cause-and-effect relationships between various economic indicators, market trends, and...

"P-hacking," or "data dredging," is a critical issue that investors should be aware of when evaluating research, particularly in the...

Investing in interventional deep learning within the realm of Causal AI represents a cutting-edge opportunity in the field of artificial...

Structural Equation Modeling (SEM) is a sophisticated statistical technique that has become increasingly popular in the field of causal inference , especially among investors seeking to understand complex relationships between variables. This article aims to provide a comprehensive understanding of SEM in causal inference , complete with examples relevant to investors . Understanding SEM in Causal Inference SEM is a statistical methodology that combines factor analysis a