Investment and Portfolio Management. Lecture 1: Managed funds fall into a number of categories that pool investors funds

Similar documents
FINC3017: Investment and Portfolio Management

Utility and Choice Under Uncertainty

E&G, Chap 10 - Utility Analysis; the Preference Structure, Uncertainty - Developing Indifference Curves in {E(R),σ(R)} Space.

Expected utility theory; Expected Utility Theory; risk aversion and utility functions

Risk aversion and choice under uncertainty

05/05/2011. Degree of Risk. Degree of Risk. BUSA 4800/4810 May 5, Uncertainty

Attitudes Toward Risk. Joseph Tao-yi Wang 2013/10/16. (Lecture 11, Micro Theory I)

Module 1: Decision Making Under Uncertainty

SAC 304: Financial Mathematics II

Chapter 1. Utility Theory. 1.1 Introduction

CHOICE THEORY, UTILITY FUNCTIONS AND RISK AVERSION

Expected Utility and Risk Aversion

Lecture 3: Utility-Based Portfolio Choice

Models & Decision with Financial Applications Unit 3: Utility Function and Risk Attitude

Unit 4.3: Uncertainty

Lecture 11 - Risk Aversion, Expected Utility Theory and Insurance

Choice under Uncertainty

Solution Guide to Exercises for Chapter 4 Decision making under uncertainty

UTILITY ANALYSIS HANDOUTS

Problem Set. Solutions to the problems appear at the end of this document.

Expected value is basically the average payoff from some sort of lottery, gamble or other situation with a randomly determined outcome.

Micro Theory I Assignment #5 - Answer key

ECMC49F Midterm. Instructor: Travis NG Date: Oct 26, 2005 Duration: 1 hour 50 mins Total Marks: 100. [1] [25 marks] Decision-making under certainty

Problem Set 2. Theory of Banking - Academic Year Maria Bachelet March 2, 2017

5. Uncertainty and Consumer Behavior

ECON 581. Decision making under risk. Instructor: Dmytro Hryshko

Financial Mathematics III Theory summary

A. Introduction to choice under uncertainty 2. B. Risk aversion 11. C. Favorable gambles 15. D. Measures of risk aversion 20. E.

BEEM109 Experimental Economics and Finance

Models and Decision with Financial Applications UNIT 1: Elements of Decision under Uncertainty

Making Hard Decision. ENCE 627 Decision Analysis for Engineering. Identify the decision situation and understand objectives. Identify alternatives

Stat 6863-Handout 1 Economics of Insurance and Risk June 2008, Maurice A. Geraghty

4. (10 pts) Portfolios A and B lie on the capital allocation line shown below. What is the risk-free rate X?

Review Session. Prof. Manuela Pedio Theory of Finance

Econ 422 Eric Zivot Summer 2005 Final Exam Solutions

Econ 422 Eric Zivot Fall 2005 Final Exam

Aversion to Risk and Optimal Portfolio Selection in the Mean- Variance Framework

Portfolio Management

Characterization of the Optimum

Economic Risk and Decision Analysis for Oil and Gas Industry CE School of Engineering and Technology Asian Institute of Technology

u w 1.5 < 0 These two results imply that the utility function is concave.

STOCHASTIC CONSUMPTION-SAVINGS MODEL: CANONICAL APPLICATIONS SEPTEMBER 13, 2010 BASICS. Introduction

FIN 6160 Investment Theory. Lecture 7-10

If U is linear, then U[E(Ỹ )] = E[U(Ỹ )], and one is indifferent between lottery and its expectation. One is called risk neutral.

8/28/2017. ECON4260 Behavioral Economics. 2 nd lecture. Expected utility. What is a lottery?

CONSUMPTION-SAVINGS MODEL JANUARY 19, 2018

Chapter 6: Risky Securities and Utility Theory

Learning Objectives 6/2/18. Some keys from yesterday

ECO 317 Economics of Uncertainty Fall Term 2009 Tuesday October 6 Portfolio Allocation Mean-Variance Approach

Notes 10: Risk and Uncertainty

STOCHASTIC CONSUMPTION-SAVINGS MODEL: CANONICAL APPLICATIONS FEBRUARY 19, 2013

Expected Utility And Risk Aversion

CONVENTIONAL FINANCE, PROSPECT THEORY, AND MARKET EFFICIENCY

CHAPTER 6: RISK AVERSION AND CAPITAL ALLOCATION TO RISKY ASSETS

FINANCIAL OPTIMIZATION. Lecture 5: Dynamic Programming and a Visit to the Soft Side

Chapter 18: Risky Choice and Risk

Quantitative Portfolio Theory & Performance Analysis

The mean-variance portfolio choice framework and its generalizations

Portfolio Variation. da f := f da i + (1 f ) da. If the investment at time t is w t, then wealth at time t + dt is

Choice under risk and uncertainty

AP/ECON 2300 FF Answers to Assignment 2 November 2010

Econ 101A Final Exam We May 9, 2012.

Chapter 23: Choice under Risk

Choose between the four lotteries with unknown probabilities on the branches: uncertainty

Lecture 06 Single Attribute Utility Theory

Continuous-Time Consumption and Portfolio Choice

Advanced Risk Management

MICROECONOMIC THEROY CONSUMER THEORY

Microeconomics of Banking: Lecture 2

What is the Optimal Investment in a Hedge Fund? ERM symposium Chicago

FINALTERM EXAMINATION Fall 2009 MGT201- Financial Management (Session - 4)

We examine the impact of risk aversion on bidding behavior in first-price auctions.

The Morningstar Rating Methodology

Lecture 5: to Consumption & Asset Choice

Analytical Problem Set

FINANCIAL MANAGEMENT (PART 16) DIVIDEND POLICY-II

Learning Objectives = = where X i is the i t h outcome of a decision, p i is the probability of the i t h

Aversion to Risk and Optimal Portfolio Selection in the Mean- Variance Framework

ECON 6022B Problem Set 2 Suggested Solutions Fall 2011

Mock Examination 2010

CHAPTER 1 AN OVERVIEW OF THE INVESTMENT PROCESS

Measuring Risk. Expected value and expected return 9/4/2018. Possibilities, Probabilities and Expected Value

Elements of Economic Analysis II Lecture II: Production Function and Profit Maximization

Utility Homework Problems

1 Asset Pricing: Replicating portfolios

ECON FINANCIAL ECONOMICS

ECON4510 Finance Theory Lecture 1

ECMC49S Midterm. Instructor: Travis NG Date: Feb 27, 2007 Duration: From 3:05pm to 5:00pm Total Marks: 100

Module 2 THEORETICAL TOOLS & APPLICATION. Lectures (3-7) Topics

Microeconomics of Banking: Lecture 3

Financial Economics Field Exam January 2008

Corporate Finance, Module 21: Option Valuation. Practice Problems. (The attached PDF file has better formatting.) Updated: July 7, 2005

ECON 5113 Microeconomic Theory

CHAPTER 6: RISK AND RISK AVERSION

Consumer s behavior under uncertainty

ECON 312: MICROECONOMICS II Lecture 11: W/C 25 th April 2016 Uncertainty and Risk Dr Ebo Turkson

Ph.D. Preliminary Examination MICROECONOMIC THEORY Applied Economics Graduate Program June 2017

Uncertainty. Contingent consumption Subjective probability. Utility functions. BEE2017 Microeconomics

Mean-Variance Analysis

CHAPTER 6: RISK AVERSION AND CAPITAL ALLOCATION TO RISKY ASSETS

Transcription:

Lecture 1: Managed funds fall into a number of categories that pool investors funds Types of managed funds: Unit trusts Investors funds are pooled, usually into specific types of assets Investors are assigned units in the fund which are typically traded o Closed in/listed: Sell a fixed number of units to investors o Open ended/unlisted: Can issue new units at any time, the value of which depends on the value of the underlying investments Superannuation funds (pension funds) Accept and manage contributions from employers and/or employees to provide retirement income benefits Superannuation fund structure two types: Defined benefit (employer takes on risk if the fund is not performing well, the employer must still contribute the defined benefit) o The retirement payout is determined based on a formula Defined contribution (employee takes the risk ie whether the fund will pay out well at time of retirement due to stability in markets) o Also termed accumulation funds o Value of retirement payout depends on investments of contributions in the fund Hedge funds Hedge funds seek to hedge against risk price movements via short selling, arbitrage trading, derivatives, distressed securities, low-grade bonds and high leverage portfolios so as to maximize the expected return-risk of the portfolio Access to hedge funds is limited Exchange traded funds Are listed on the stock market Trade as per any stock, throughout the day, unlike other managed funds Are essentially a hybrid between a listed security and an open-ended fund Provide ease of access and low costs of entry and exit Often have explicit objective and benchmark (eg. index tracking) Asset allocation Strategic asset allocation is a benchmark allocation between asset classes (Investment managers will generally have a range of aim portfolio weights for each asset class for the long term) o This allocation depends on the objective of the fund Balanced funds, conservative funds (more fixed income), imputation funds, inflation funds o Asset classes include: Cash Page 1 of 76

Fixed interest Property Alternative investments Equity Tactical asset allocation is active between asset classes, when actual portfolio deviates from strategy it takes the actual portfolio holdings away from the strategic asset allocation in the short term o Ie How overweight or underweight a financial manager is in their asset allocation from their benchmarks o Managers attempt to exploit temporary mispricing by adjusting exposure to different asset classes Lecture 2: Choices Risk free assets: o Return is certain across all possible states of the world o Choice is simply between consumption now and later Risky assets o Return is not certain across all possible states of the world o The range of possible future cash flows will impact on wealth Utility analysis Utility functions provide a means to rank alternatives so they can decide o How one chooses the amount to invest in risky assets o How one weights outcomes Investors will choose a combination to maximise expected utility (expected utility theory), based on past performance (among other things) An investor prefers W 1 to W 2 if and only if: E[U(W 1 )] > E[U(W 2 )] o Where U(W i ) is an appropriate individual-specific utility function Axioms of expected utility theory Comparability An investor is able to state whether they prefer A to B, B to A or if they are indifferent between A and B Transitivity If an investor prefers A to B and B to C, then the investor prefers A to C Independence An investor is indifferent between two certain outcomes G and H If you introduce something new J where J is uncertain (with probability (1 P)), then an investors preferences will remain indifferent between: o G with probability P and J with probability (1-P) Page 2 of 76

o H with probability P and J with probability (1-P) Ie, if something else comes along, it does not change original preferences Certainty equivalent A certain outcome that gives you the same utility as the expected utility of a risky outcome Steps to calculate Expected Utility 1. Determine outcome for each i (W i ) 2. Calculate the function for each i (U(W i )) 3. Multiply by each probability (P = P i ) n 4. Sum together i=1 U(W i )P i 5. Compare to other assets Properties of utility functions More is preferred to less (non-satiated) o This means the first derivative of utility function is positive U W o Additionally, suppose there are two (certain) risk-free investments, one with outcome W 1 dollars, and the other with outcome W 2 dollars. If W 1 >W 2, then U du W dw W U 1 W 2 0 Adding a constant to a utility function or multiplying utility functions by a constant does not change rankings o The same investment is selected Fair gamble A fair gamble is: o A risky investment whose expected return equals the risk-free rate of return o Or, a risky investment which has zero risk premium (makes a return at the risk-free rate) Risk averse investors would hence prefer the non-risky alternative (as it provides the same EV) Types of investors Risk-averse investor Will reject a fair gamble o They require an appropriate risk premium to accept a risky investment o The expected utility of wealth from risky investments must be less than the expected utility of wealth from the risk-free investment E[U(W R )] E[U(W RF )] U(W RF ) U[E(W R )] Page 3 of 76

Note: Utility function means that equivalent expected wealth may not produce equivalent utilities: E[U(W)] U[E(W)] Risk-aversion implies second derivative is negative o Utility is concave in wealth Diminishing marginal utility of wealth o Utility from an additional dollar of wealth declines as wealth increases 2 d U W U W 2 dw Certainty equivalent wealth (CEQ) is the indifference point o Ie, how much a risk averse investor values the risky gamble in risk free terms (steps: Calculate utility from risky gamble = A, and then do A = U(W) and then reverse the utility to get to W for certainty equivalent wealth) o Utility of gamble minus CEQ = risk premium required for gamble Note: If risk premium is larger than CEQ risk premium, they will take risk free, if it is smaller, they will take risky 0 Risk-neutral investors Risk-neutral investors will be indifferent to a fair gamble o Indifferent between a fair gamble and a risk-free investment The utility function is linear in wealth The second derivative of the utility function is zero U' '( W ) 0 Page 4 of 76

Risk seeking investor Risk seeking investor will select a fair gamble o Prefer the fair gamble over the risk-free investment The utility function is convex in wealth The second derivative is positive U' '( W 0 Risk seeking investors will pay a premium to take risk ) Page 5 of 76

Key assumptions for this course Assume investors: Are risk averse Maximise their expected utility of wealth Prefer more wealth to less (U (W)>0) Have diminishing marginal utility of wealth (U (W)<0) Absolute risk aversion Shifts in investor preferences in response to wealth If amount invested in risky assets increases as wealth increases then investor has decreasing absolute risk aversion ARA A(W) -U''(W) U'(W) The derivative of ARA with respect to wealth indicates how absolute risk aversion changes as wealth changes o Decreasing A (W)<0, Constant A (W)=0, Increasing A (W)>0 Generally assumed that investors exhibit decreasing absolute risk aversion Relative risk aversion How the percentage of wealth invested in risky assets change as wealth changes RRA R(W) - WU' '(W) U'(W) RRA R(W) W ARA Derivative of R(W) with respect to wealth indicates how relative risk aversion changes as wealth changes o Decreasing R (W)<0, Constant R (W)=0, Increasing R (W)>0 No consensus on how relative risk aversion changes as wealth changes Page 6 of 76

Types of utility functions (typically for risk averse investors) Note: Log utility functions exhibit Decreasing ARA Constant RRA Quadratic utility functions exhibit: Increasing ARA Increasing RRA Exponential utility functions exhibit: Constant ARA Increasing RRA From wealth to mean-variance Investor preferences The use of expected return and standard deviation is appropriate to approximate investor preferences when one of two conditions is satisfied: o If distribution of expected returns is normal Investments can be ranked according to risk and return o When utility functions are quadratic Expected utility is determined by expected wealth and standard deviation of expected wealth Australian data suggests that equity returns are not normal Page 7 of 76