Effects of Behavioral Factors on Adviser-Client Interactions
A successful client-adviser relationship is characterized by the planning, construction, and selection of the most optimal portfolio for the client. This involves staying the course, bolstered by solid communication between both parties. The first logical step is to have the…
Influence of Behavioral Factors on Portfolio Construction
Various biases affect portfolio construction in different ways. The following are some of the common and testable biases and their consequences. Status quo bias: This bias is characterized by inaction. Investors may choose the asset allocation and contribution rate default…
Uses and Limitations of Classifying Investors into Personality Types
Advisers are encouraged to include behavioral factors in their clients’ portfolios. This tends to improve adviser-client relationships. In addition, the inclusion of behavioral factors in clients’ portfolios yields portfolios that are closer to the efficient frontier. The following models help…
Climate-Related Financial Risks – Measurement Methodologies
After completing this reading, you should be able to: Describe the main issues in identifying and measuring climate-related financial risks. Identify unique data needs inherent in the climate-related risks and describe candidate methodologies that could be used to analyze these…
Inflation: a Look under the Hood
After completing this reading, you should be able to: Describe how inflation dynamics differ between a low-inflation regime and a high-inflation regime. Explain the process of wage and price formation, the role inflation plays in this process, and vice versa….
Artificial Intelligence Risk & Governance
After completing this reading, you should be able to: Identify and discuss the categories of potential risks associated with the use of AI by financial firms and describe the risks that are considered under each category. Describe the four core…
Cognitive Errors Vs. Emotional Biases
Distinguishing between cognitive and emotional bias is not always a binary process. Some biases manifest elements of both cognitive and emotional aspects. Categorizing biases as cognitive or emotional is useful to analysts and advisors in answering the question of…
The Future Monetary System
After completing this reading, you should be able to: Identify and describe the benefits and limitations of crypto and decentralized finance (DeFi) innovations. Describe the role of stablecoins in DeFi ecosystems and differentiate among the types of stablecoins. Discuss possible…
Machine Learning and Prediction
After completing this reading, you should be able to: Explain the role of linear regression and logistic regression in prediction. Evaluate the predictive performance of logistic regression models. Understand how to encode categorical variables. Discuss why regularization is useful, and…
Machine Learning Methods
After completing this reading, you should be able to: Discuss the philosophical and practical differences between machine learning techniques and classical econometrics. Compare and apply the two methods utilized for rescaling variables in data preparation. Explain the differences among the…
