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Biases that contribute to financial decision-making errors and gain insights into how to make better financial choices.

What you will learn

Behavioral Finance vs Traditional Finance. Examination of Utility Theory and its Axioms. Exploration of Bayes Theory and its application.

Discussion on the concept of Rational Economic Man. Understanding the Risk Aversion of Investors. Perspectives on Individuals in Behavioral Finance.

Bounded Rationality and its impact. Prospect Theory and its Editing Phase. Analysis of the Isolation Effect with examples.

Efficient Markets and Forms of Market Efficiency. Evaluation of the Efficient Market Hypothesis. Identification and discussion of Market Anomalies.

Traditional Perspective of Portfolio Construction. Consumption and Savings Model. Behavioral Asset Pricing Model and Portfolio Theory.

Understanding Cognitive vs Emotional Biases. Exploration of Cognitive Errors, including Perseverance, Information Processing, and Framing.

Examination of Emotional Biases, such as Loss Aversion, Overconfidence, Control Bias, and Endowment Bias. Impact and mitigation of biases

Discussion on Goals-Based Investing. Behavioral modification of Asset Allocation.

Introduction and exploration of various models like Barnewall Two Way Model, BBK Five Way Model, and Pompian Model

Dealing with Behavioral Investment Traits (BITs) and their limitations. Considerations for the Advisor-Client relationship.

Insights into Portfolio Construction, including DC Plans and Behavioral Portfolio Indivisibility Show Mental Accounting.

Analyst Forecasts and their influence on decision-making. Impact of Company Management on Analysis.

Understanding Analyst Bias in Conducting Research. Insights into Investment Committees.

Description

Behavioral finance is a fascinating field that explores the psychological and emotional factors influencing decision-making in finance. Let’s break down the key points highlighted in your description:

1. Traditional vs. Behavioral Finance:

  • Traditional finance theory assumes that investors are rational and make decisions based on relevant data.
  • Behavioral finance, in contrast, acknowledges inherent human flaws, irrational behavior, and the impact of emotions and biases on decision-making.

2. Influence on Financial Practitioners:

  • Behavioral finance studies how psychological factors influence the behavior of financial practitioners and subsequently impact markets.
  • It emphasizes that investors’ decisions are often influenced by psychological principles, leading to various market anomalies.

3. Cognitive Psychology and Limits to Arbitrage:

  • Behavioral finance incorporates cognitive psychology, describing how individuals behave in financial decision-making.
  • It considers the limits to arbitrage, explaining the effectiveness or ineffectiveness of arbitrage forces in different circumstances.

4. Everyday Decision-Making:

  • Individuals make thousands of decisions daily using heuristics (mental shortcuts) to navigate life.
  • Behavioral finance examines how these shortcuts, while essential, can lead to errors in specific circumstances, especially in financial decision-making.

5. Course Objectives:

  • The course aims to explore predictable errors in financial decision-making.
  • Participants will learn about biases that contribute to these errors and gain insights into how to make better financial choices.

6. Improving Financial Decisions:

  • The course guides participants toward improving financial choices related to spending, saving, and investing for the future.

In summary, behavioral finance provides a nuanced understanding of how human psychology and emotions shape financial decisions. By recognizing and addressing biases, individuals can make more informed and rational choices in their financial lives.

The course on Behavioral Finance is a comprehensive exploration of the psychological and emotional factors that influence decision-making in the realm of finance. Here’s a summary of the key topics covered in the course:

Section 1: Behavioral Finance

This section provides a comprehensive overview of Behavioral Finance, covering topics such as the contrast between Behavioral and Traditional Finance, Utility Theory, Bayes Theory, Risk Aversion, Prospect Theory, Efficient Markets, Portfolio Construction, and various biases influencing decision-making. It delves into both cognitive and emotional biases, examining their impacts on investment strategies, asset pricing models, and market anomalies.


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Section 2: Personal Finance – Private Wealth Management

Focusing on individual financial management, this section explores situational profiling, active vs. passive wealth, psychological profiling, investor personality types, benefits of Investment Policy Statements (IPS), time horizons, taxation, estate planning, and risk management. It addresses the complexities of managing private wealth, incorporating case studies, tax implications, and Monte Carlo simulations.

Section 3: Institutional Wealth Management – Institutional Investors

Dedicating attention to institutional investors, this section covers pension plans, foundations, endowments, and insurance companies. It discusses their risk and return objectives, constraints, liquidity considerations, and the role of asset liability management. Specialized topics include concentrated positions, investment risk, capital market constraints, and goal-based planning for institutional portfolios.

Section 4: Capital Markets Expectations In Portfolio Management

Focusing on portfolio management, this section details the steps and tools for setting Capital Markets Expectations (CME), discusses limitations, and analyzes economic growth, inflation effects, Taylor Rule, government policies, and considerations for emerging markets. It provides insights into setting expectations for portfolio returns in diverse economic scenarios.

Section 5: Capital Markets Expectations – Economic Indicators

This section emphasizes econometric and economic indicators, checklist approaches, and methods for forecasting exchange rates. It provides practical guidance on understanding and incorporating economic indicators into the process of setting expectations for capital markets.

Section 6: Capital Markets Expectations – Equity Market Valuations

The final section concentrates on equity market valuations, examining the relationships between economic output and market valuations. It introduces models like the Yardeni Model and explores asset-based models. The section concludes by discussing ongoing considerations in asset allocation for effective portfolio management.

Overall, the course offers a comprehensive journey through behavioral finance, personal wealth management, institutional investment strategies, and the intricacies of setting expectations in capital markets.

English
language

Content

Behavioral Finance

Introduction Behavioral Finance
Behavioral Finance Vs Traditional Finance
Utility Theory and its Axioms
Utility Theory and its Axioms Continues
Bayes Theory and Example
Bayes Theory and Utility
Rational Economic Man
Risk Aversion of Investors
Behavioral Finance Perpectives on Individuals
Prospect and Decision Making Theory
Bounded Rationality
Prospect Theory – Editing Phase
Isolation Effect
Example of Isolation Effect
Efficient Markets and Forms of Market Efficiency
Efficient Market Hypothesis
Market Anomalies
Market Anomalies Continues
Traditional Perspective of Portfolio Construction
Consumption and Savings Model
Behavioral Asset Pricing Model
Behavioral Portfolio Theory
Adaptive Market Hypothesis
Types of Analysis
Utility Theory
Risk Aversion Levels
Decision Making Theory
Prospect Theory
Prospect Theory Continue
Behavioural and Traditional Approach
Behavioural and Traditional Approach Continues
Cognitive vs Emotional Biases
Cognitive Errors
Cognitive Errors – Persevearence
Cognitive Errors – Information Processing
Cognitive Errors – Framing
EB – Loss Aversion
EB – Overconfidence
EB – Control Bias
Endowment Bias
Impact and Mitigation of Biases – For the Exam
Confirmation Bias Impact
illusion of Control Bias Impact
Framing Bias Impact
Emotional Biases
Self Control Bias – Impact
Status Quo Bias – Impact
Goals Based Investing
Behaviourally Modified Asset Allocation
Behaviourally Modified Asset Allocation Continues
Barnewall Two Way Model
BBK Five Way Model
Pompian Model
Pompian Model Continues
Dealing with BITs
Limitations of BIT
Advisor Client Relationship
Portfolio Construction
Portfolio Construction – DC Plans
BP-Indivisiol Show Mental Accounting
Analyst Forecasts
Influence of Company Management on Analysis
Analyst Bias in Conducting research
Investment Committees
Market Anomalies-Harding
Value and Growth Anomalies

Personal Finance – Private Wealth Management

Situational Profiling
Active Vs Passive Wealth
Stages of Life
Psycological Profiling
Psycological Profiling Continues
Investor Personality Types
Individualistic Personality Type
Benefits of IPS
Time Horizon
Common Liquidity Issues
Risk Tolerance and Return Objectives
IRR Type Question
Solution
Monte Carlo Vs Deterministic Approach
Monte Carlo Vs Deterministic Approach Continues
EQ – Case Study Individual Investor
More on Individual Investor
Type of Taxes
Progressive Tax Example
Accrual Taxation
Capital Gains Taxes
Wealth Taxes
Accrual Equivalent Returns
Summary of Relationships
Account Tax Profiles
Trading Behavior
HIFO LIFO and Optimization
Estate Planning and Probable
Ownership Rights
Community Property Regime
Core Capital
Core Capital with Example
Monte Carlo Simulations
Relative After Tax Values
Example-Recipient Pays Gift Taxes
Estate Planning Strategies
Valuation Discount
Life Insurance
Tax Jurisdictions
Relief from Doible Taxation
Global Treaties
Mortality Risk
Demand for Insurance
Hedging Risks
Asset Allocations
Sample Question-Private Wealth Management
Sample Question 2
Sample Question 2 Continue
More on Sample Question 2

Institutional Wealth Management – Institutional Investors

Institutional Investors
Pension Plan (DB vs DC)
Defined Benefit Plans
Return and Risk
Befined Benefit Plans
Befined Benefit Plans Continue
Foundation – Risk and Return Objectives
Foundation – Risk and Return Objectives Continue
Foundations – Constraints
Endownments
Objectives and Constraints
Insurance Companies
Life Insurance Companies – Return Objective
Three Issues Affecting LI Liquidity
Life Insurance – Time Horizon
Non Life vs Life Insurance and Underwriting Cycle
Non Life Insurance – Objectives
Policy of Total Return
Non Life Insurance Companies – Liquidity
Bank Securities Portfolio Objectives
Securities Portfolio – Objectives
Securities Portfolio – Constraints
Asset Liability Management
Introduction to Concentrated Positions
Overview of Concentrated Positions
Investment Risk
General Principles and Considerations
Institutional and Capital Market Constraints
Institutional and Capital Market Constraints Continues
Goal Based Planning
Concentrated Wealth Decision Making
Managing Risk and Tax
Monitizing Strategies
Concentrated Positions – Hedging
Concentrated Positions – Heding Strategies
Yield Enhancement
Managing Risk of Private Business
Considerations of Different Strategies
Managing Concentrated Real Estate
Linking Pension Liabilities to Assets
Linking Pension Liabilities to Assets Continues
Allocating Shareholder Capital to Pension Plans

Capital Markets Expectations In Portfolio Management

7 steps to CME
9 Limitation
5 Tools for setting CME’s
5 Tools for setting CME’s Continue
Economic Growth Analysis
Inflation Effect on Asset Classes
Taylor Rule
Government Policies
6 questions for Emerging Markets

Capital Markets Expectations – Economic Indicators

Econometric and Economic Indicators
Checklist Approaches
Methods of Forecasting Exchange Rates

Capital Markets Expectations – Equity Market Valuations

Equity Market Valuations
Change in Economic Output Relationship
Example of Equity Market Valuations
Relative Equity Market Valuation
Yardeni Model in Relative Equity Market Valuation
Asset Based Models
Asset Allocation
Asset Allocation Continues