Topic 1: Introduction FINA 3702C Investment Analysis and Portfolio Management Arkodipta Sarkar Introduction • My Research – Empirical Corporate Finance – Investment Decisions • More About Myself – – – – – – Born in India BSc in Economics (Presidency College Kolkata) MA in Economics (Delhi School of Economics) MRES, PhD in Finance (London Business School) Assistant Professor at HKUST 2020-22 Joined NUS in 2022 Importance of Learning Investment Sports Illustrated, 2009 “78% of former NFL players either gone bankrupt or are under financial stress within two years of retirement” “60% of NBA players are broke five years after they retire” Players Latrell Sprewell Kenny Anderson Derrick Coleman Antione Walker Allen Iverson Estimated Career Earnings (USD) 50 million 60 million 87 million 110 million 154 million Filed Bankruptcy 2007 2005 2010 2010 2012 Course Details • Office Hours – By appointment (asarkar@nus.edu.sg) • Textbook – Bodie, Zvi, Alex Kane and Alan Marcus, 2021, Investments (12th Edition), McGraw Hill, ISBN 978-1-26059024-1 • Course website: – https://canvas.nus.edu.sg Grading Structure • 4 Problem Sets given through out the course (20%, 5% each) – One Week deadline from the time that it is given • 1 Midterm Test (25%) – Week 7, date to be confirmed • 1 Final Exam (40%) – Exam week on May 5, 2023 at 2:30pm • Class Participation (10%) – Active participation implies active learning • Investment Ethics (5%) – There will be online materials for study of Ethics and a quiz on the materials. This is in compliance to NUS being a CFA affiliated institution Syllabus Week Topics 1 Topic 1: Introduction (BKM Chapter 1 to 5) 2 Topic 2: Portfolio Theory (BKM Chapter 6 to 7) 3 Topic 3: Asset Pricing Models (BKM Chapter 8, 9 & 10) 4 Topic 3: Asset Pricing Models (cont.) 5 Topic 4: Efficient Market Hypothesis and Behavioural Finance (BKM Chapter 11) 6 Revision Deliverable (end of week) Problem Set 1 Problem Set 2 Recess Week 7 No Lesson: Mid Term Test 8 Topic 5: Portfolio Management (BKM Chapter 24) 9 Topic 6: Bond Analysis (BKM Chapter 14, 15 & 16) 10 Topic 6: Bond Analysis (Cont.) 11 Topic 7: Security Analysis (BKM Chapter 17, 18 & 12.2) 12 Topic 8: Future and Options (BKM Chapter 20, 21, 22, & 23) 13 Revision Problem Set 3 Problem Set 4 Midterm/Final Exams • Midterm Test: – Topics 1-4 • Final Exam – All topics. Special focus on topics 5-8 • Will be comprised of both multiple choice questions and open questions Let’s Get Started Learning Outcomes: • What is an investment? • What can we invest in? • Where can we invest? • How can we invest? Learning Outcomes: • What is an investment? • What can we invest in? • Where can we invest? • How can we invest? What is an investment? • An investment is the current commitment of money or other resources in the expectation of reaping future benefits • Everyone is making investments at some points of his life. – Earn money and spend money – Examples: bank accounts; education; housing; healthcare; insurance; retirement etc. • The knowledge, understanding and practices of investment concepts and principles can lead to drastic different lifestyles, household wealth and quality of life. What is an investment? • What are the key elements in an investment? – Resources: Capital – Goals: Return – Willingness: take risk • Return & Risk – – – – Expected return Risk Return distribution Return-risk relation (Sharpe Ratio) Expected return • There a whole range of possible returns in the future given the risk in the financial market. Expected return is usually a mean (or average) of a possible distribution of all possible return realization • Expected return is what we care about for an investment. It contains the best estimation of what will happen in the future time horizon. – We use E(r) or E(R) to represent the expected return, where “r” represents the simple return and “R” represents the gross return (1+r). • Realized (actual) return can be very different from expected return, and the difference is due to risk. Example 1: Two Lotteries • Suppose you face the following two lotteries. Which will you prefer? – Lottery 1: Get $100 for sure – Lottery 2: Get $200 or $0 with equal probability • Note the expected payoff of Lottery 2 is $100 Example 1: Two Lotteries • Suppose you face the following two lotteries. Which will you prefer? – Lottery 1: Get $100 for sure – Lottery 2: Get $200 or $0 with equal probability • Note the expected payoff of Lottery 2 is $100 • If you prefer Lottery 1, then you are risk averse – You will value Lottery 2 less than $100, say $80 – The difference $20 is the compensation for you to hold the uncertain outcomes. Example 2: St. Petersburg Paradox • Consider a simple experiment. – I will toss a coin repeatedly until tails appear – I will put $1 in the payoff pot if the first toss is heads and then double the pot every time heads appear – When I toss a tail, you walk away with whatever is in the pot – So if I toss four straight heads and then a tail, I'll pay you: 1 ∗ 2 ∗ 2 ∗ 2 = 23 = 8 – If I toss n straight heads and then a tail, I'll pay you $2π−1 • How much will you be willing to pay to play such a game? Example 2: St. Petersburg Paradox • Consider a simple experiment. – I will toss a coin repeatedly until tails appear – I will put $1 in the payoff pot if the first toss is heads and then double the pot every time heads appear – When I toss a tail, you walk away with whatever is in the pot – So if I toss four straight heads and then a tail, I'll pay you: 1 ∗ 2 ∗ 2 ∗ 2 = 23 = 8 – If I toss n straight heads and then a tail, I'll pay you $2π−1 • How much will you be willing to pay to play such a game? • Your expected payoff is Example 2: St. Petersburg Paradox • The gamble has an expected value of infinity but most of us would pay only a few dollars to play this game. • One resolution of the paradox: human's decision criterion depends on expected utility rather than expected price – and utility function takes into account agents' risk aversion • The value of an item must not be based upon its price, but rather on the utility it yields. The price of the item is dependent only on the thing itself and is equal for everyone; the utility, however, is dependent on the particular circumstances of the person making the estimate. --Daniel Bernoulli The logic extends to financial markets... • Investors dislike risk: they are risk averse – For a given level of return they would prefer the asset with the lower risk – If they take on more risk by holding one asset, they should require more return • So return is only half the story in finance: we also need to take into account risk – Discount rates should therefore reflect not only the time value of money, but also the riskiness of the underlying security Risk and Return Risk and Return • In general, high risk is associated with high returns – Small stocks are riskier, but they have high return – Larger stocks are less risky than small stocks, more risky than bonds and T-Bills – Treasury bills are virtually risk-free, but they have low returns • Next, how should we measure returns and risk? Measuring Returns • Returns can either be ex post, meaning returns were already realized, or ex ante, which means they are expected. • Let's first look at ex post returns. • Holding period return if you bought a stock at time t-1 and sold it at a time t is: π π‘ = • Return during year 1 is π 1 = • Return during year 2 is π 2 = ππ‘ +π·π‘ −ππ‘−1 ππ‘−1 110+5−100 100 112+6−110 110 = ππ‘ +π·π‘ ππ‘−1 = 15% = 7.27% −1 Measuring Realized Returns • Holding period return realized over two years is 1.15 *1.0727 - 1 = 23.36% • Holding period return per year is 1.15 ∗ 1.0727 • In general, holding period return per period is 1 2 − 1 = 11.07% • Known as the geometric mean return (equiv. to the effective rate) • Note: When holding period is beyond the date of the first dividend, to compute the return we must specify how we invest dividends in the interim. – Geometric mean assumes that all dividends are immediately reinvested and used to purchase additional shares of the same stock or security. Measuring Realized Returns • By contrast, the arithmetic or simple mean is • The average annual return in the previous example is Geometric mean vs. Arithmetic mean • An example – Suppose no dividends, P0 = $100; P1 = $200; P2 = $100. – Then R1 = 100%, R2 = -50% 1 2 – Geometric mean (HPR) is 2 ∗ 0.50 − 1 = 0% – Simple mean is (1 – 0.50)/2 = 25% ⇒ Can be misleading • The geometric mean represents really your return on investment. – Most often used for comparison purposes. • Arithmetic mean is used when trying to estimate an investment's expected return over a future horizon based on its past performance. – Assuming each observation is equally likely Measuring Expected (Ex Ante) Returns • Ex post (past) returns are interesting to study to understand what has happened and why it has happened • But what investors and investment professionals really care to know are ex ante returns, or estimates of the future returns Measuring Expected (Ex Ante) Returns • Ex post (past) returns are interesting to study to understand what has happened and why it has happened • But what investors and investment professionals really care to know are ex ante returns, or estimates of the future returns • The ex ante, or expected return can be computed by estimating the probability ππ of each state s happening and multiplying it by the return in that state π π Measuring Expected (Ex Ante) Returns • Ex post (past) returns are interesting to study to understand what has happened and why it has happened • But what investors and investment professionals really care to know are ex ante returns, or estimates of the future returns • The ex ante, or expected return can be computed by estimating the probability ππ of each state s happening and multiplying it by the return in that state π π Measuring Expected (Ex Ante) Returns • Ex post (past) returns are interesting to study to understand what has happened and why it has happened • But what investors and investment professionals really care to know are ex ante returns, or estimates of the future returns • The ex ante, or expected return can be computed by estimating the probability ππ of each state s happening and multiplying it by the return in that state π π Measuring Expected (Ex Ante) Returns • Ex post (past) returns are interesting to study to understand what has happened and why it has happened • But what investors and investment professionals really care to know are ex ante returns, or estimates of the future returns • The ex ante, or expected return can be computed by estimating the probability ππ of each state s happening and multiplying it by the return in that state π π Measuring Return: Exercise • Consider a stock with the following three annual returns in year 1, 2 and 3: 10%, 8%, and -4%. • Suppose your friend plans to invest in this stock for the next year, and assume probabilities of having 10%, 8%, and -4% returns in the coming year are equal. • Questions: – 1 What is the realized returns for three-year holding period? – 2 What is the realized annual return? – 3 What should you use to compute the expected return? What is it? • Answer: Measuring Return: Exercise • Consider a stock with the following three annual returns in year 1, 2 and 3: 10%, 8%, and -4%. • Suppose your friend plans to invest in this stock for the next year, and assume probabilities of having 10%, 8%, and -4% returns in the coming year are equal. • Questions: – 1 What is the realized returns for three-year holding period? – 2 What is the realized annual return? – 3 What should you use to compute the expected return? What is it? • Answer: – Holding period return = 1 + 10% 1 + 8% 1 − 4% − 1 = 14.05% – Realized annual return = – Arithmetic return = 1 + 10% 1 + 8% 1 − 4% 10%+8%−4% 3 = 4.67% 1 3 − 1 = 4.48% Measuring Risk • There is no universally agreed-upon definition of risk • The most commonly used measure is the variance • The standard deviation (or volatility) is the squared root of the variance: • It's handy because it has the same scale as average returns. • Standard deviation leaves something to be desired as a measure of risk though as both unusually large gains will elevate the measure as much as unusually large losses will Measuring Risk Example • We already computed E(RA) = 0.05 and E(RB) = 0.026 • We can now use either formula to compute variance and standard deviation Measuring Risk Example • We already computed E(RA) = 0.05 and E(RB) = 0.026 • We can now use either formula to compute variance and standard deviation Measuring Risk Example • We already computed E(RA) = 0.05 and E(RB) = 0.026 • We can now use either formula to compute variance and standard deviation Why Variance (Volatility) to Measure Risk? • Most finance models assume that the returns we observe in the real world are random variables coming from a normal distribution • Normal distributions are probability distributions that are fully characterized by their mean and variance – If we can accurately compute the mean and the variance of returns for a given stock, we can compute the probability of any return for this stock • Example: Same mean, larger standard deviation for blue stock Using Past Returns to Predict the Future • Assuming the distribution of a stock's return is identical each year. Assuming the distribution of the returns is independent of prior year's return. – Historical Average Return (the average realized return) is an estimate of the expected return in the future • Use standard deviation to determine a reasonable range for the actual return: – 95% πΆπππππππππ πΌππ‘πππ£ππ = π΄π£πππππ ± 2 × ππ‘ππππππ πππ£πππ‘πππ Exercise • Assume the distribution of returns of BM Stock is roughly normal. Given the mean and the variance of BM stock's returns are 7%, and 129%, respectively, on average, once in how many years should you expect to see that you will lose more than 15.72% from BM Stock? • • • • (A) 6.25 years (B) 20 years (C) 40 years (D) 200 years Exercise • Assume the distribution of returns of BM Stock is roughly normal. Given the mean and the variance of BM stock's returns are 7%, and 129%, respectively, on average, once in how many years should you expect to see that you will lose more than 15.72% from BM Stock? • • • • (A) 6.25 years (B) 20 years (C) 40 years (D) 200 years Exercise Answer • Calculate how many SD is -15:72% away from the mean 7%.#of SD = 7%− −15.72% 129% =2 • Recall 95% confidence interval is 2SD away from the mean. So the probability of observing return lower than -15.72% is 5%/2 = 2.5%. • Therefore, on average, once in 1/(2.5%) = 40 years. we expect a return lower than -15.72%. Learning Outcomes: • What is an investment? • What can we invest in? • Where can we invest? • How can we invest? Learning Outcomes: • What can we invest in? – Real assets and financial assets – Direct and indirect investment – Short-term and long-term investment – High-risk and low-risk investment Real assets and financial assets • What are real assets? – Examples: Land, buildings, machines, knowledge, patents, human capital etc. – Determine the net income of the economy – Determine the production capacity • What are financial assets? – Examples: stocks, bonds, derivatives etc. – Financial assets are claims on the income generated by real assets (or from the government) Direct and indirect investment • Direct investment: – buy or sell securities/properties • Indirect investment: – buy or sell a collection of securities/properties managed by a professional investor • Less direct investment and more indirect investment over the time Indirect investment via investment companies • Pool funds of individual investors and invest in a wide range of securities or other assets. • Provide services such as administration & record keeping; diversification & divisibility; professional management; reduced transaction cost • Examples: unit trust; mutual funds; REITs; Hedge Funds; Islamic Investment Funds; Sovereign Wealth Funds • Funds are sold via direct marketing or sales forces distributed or use financial supermarkets • What are the costs: Operating expenses; Front-end load; Back-end load; 12 b-1 charge (in the U.S.) (read the prospectus) Return of Mutual Fund investment • Initial net asset value (NAV) = $20 (per share) ππ΄π = – – – – ππ ππ ππ π ππ‘π − πΏπππππππ‘πππ πβππππ ππ’π‘π π‘ππππππ Income distributions of $.15 Capital gain distributions of $.05 Ending NAV = $20.10 What is the rate of return? π ππ‘π ππ πππ‘π’ππ ππ΄π1 − ππ΄π0 + πΌπππππ & πΆππππ‘ππ ππππ πππ π‘ππππ’π‘ππππ = ππ΄π0 =(20.10 – 20 + 0.15 + 0.05)/20 = 1.5% Example: Mutual Fund Investment • You purchased shares of a mutual fund at a price of $20 per share at the beginning of the year and paid a front-end load of 5.75%. If the securities in which the fund invested increased in value by 11% during the year, and the fund's expense ratio was 1.25%. If you sold the fund at the end of the year, what would be your return? Example: Mutual Fund Investment • You purchased shares of a mutual fund at a price of $20 per share at the beginning of the year and paid a front-end load of 5.75%. If the securities in which the fund invested increased in value by 11% during the year, and the fund's expense ratio was 1.25%. If you sold the fund at the end of the year, what would be your return? Return: = {[$20 * (1-0.0575) * (1.11 − .0125)] -$20}/$20 = 3.44% Short-term and long-term investment • Short term investment: – Money Market Instruments with maturity <= 1 year – Examples: deposit accounts, T-bills, Certificate of deposits (CDs), commercial papers (CPs), Bankers’ acceptances (BAs), Money market mutual funds etc. • Long-term investment: – Capital Market Instruments with maturity > 1 year – Examples: bond; equity; derivatives Long-term Investment • Types of Bond Instruments – Examples: Treasury bonds; corporate bonds; Municipal bonds; International bonds; Federal Agency Debt; Asset-Backed Securities; Mortgage-backed securities; TIPS • Types of Equity Instruments – Examples:Common stocks; Preferred stocks; American/Global Depository Receipts; Stock indices: S&P500; Straits Times Index • Types of Derivatives – Examples: options (calls and puts); forward & futures Risk of Equity and Bond Returns Around the World (1900-2000) Summary of Stylized Facts • Asset classes that provide higher return are more risky – Return: Stocks > Bonds – Risk: Stocks > Bonds • These rankings hold in global markets as well. • Tradeoff between risk and return: – Does an expected return provide adequate compensation for the additional risk? Learning Outcomes: • What is an investment? • What can we invest in? • Where can we invest? • How can we invest? Learning Outcomes: • Where can we invest? – Types of financial markets – Functions of financial markets – Participants – Regulatory Framework Types of financial markets • Primary Market – Firms issue new securities through underwriters to the public – Example: IPO/SEO/Private Placement • Secondary Market – Investors trade previously issued securities among themselves – Firms do not receive proceeds Functions of financial markets: • Provide information • Timing of consumption • Allocation of risk • Separation of ownership and management • Corporate governance • Corporate ethics Regulatory Framework • Major regulations: – Securities Act of 1933 – Securities Act of 1934 – Securities Investor Protection Act of 1970 • Self-Regulation – Financial Industry Regulatory Authority (FIRA) – CFA Institute standards of professional conduct • Sarbanes-Oxley Act – E.g., Accounting/audit/financial reports/board of directors Learning Outcomes: • What is an investment? • What can we invest in? • Where can we invest? • How can we invest? Learning Outcomes: • How can we invest? – Type of markets for trading – Types of orders – Trading costs – Trade on margins – Short sale Types of markets for trading • Direct search • Brokered markets • Dealer markets • Auction markets • Specialist markets • Electronic markets Types of Orders • Market Order: Executed Immediately • Limit Order: Pre-contingent order Trading Costs • Brokerage Commission – Fees paid to Broker – Explicit or implicit cost? explicit cost • Bid-ask Spread – A profit for dealer for making the market. – An investor gets bid and pays ask – Explicit or implicit cost? Implicit Cost Trade on Margins • Investor borrow part of the purchase using a loan from a broker. • Margins refers to the contribution from the investor. • Initial margin refers to the starting contribution – In US., 50% is the initial margin requirement for equities. • Maintenance margin refers to the minimum amount you need to keep in the margin account. It is to guard the possibility that owners’ equity becomes negative (when price falls too much). • A margin call occurs when the value of the investor’s margin account drops and fails to meet the account's maintenance margin requirement. While faced with margin calls, investors are required to top up to the initial margin (for example). Trade on Margins Initial Condition: Share price $100 60% Initial Margin 40% Maintenance Margin 100 Shares Purchased Initial Position Stock $10,000 Borrowed Equity $4,000 $6,000 Stock price falls to $70 per share, what is the margin now? Trade on Margins Stock price falls to $70 per share, what is the margin now? New Position Stock $7,000 Borrowed Equity $4,000 $3,000 Margin = $3000/$7000 = 43% Trade on Margins How far can the stock price fall before a margin call? Trade on Margins How far can the stock price fall before a margin call? Recall maintenance margin = 40% Equity = 100P - $4000 Percentage margin = (100P - $4,000) / 100P (100P - $4,000) / 100P = 0.40 Solve to find: P=$66.67 Trade on Margins If the price falls to $65, how much will the investor need to top up in the margin account? Trade on Margins If the price falls to $65, how much will the investor need to top up in the margin account? Total value of stock = $65×100 = $6,500 Borrowed $4,000 Equity = 100×65 - $4000 = $2,500 Percentage margin = $2,500 / (100×65) = 38% This is below the maintenance margin of 40%. Need to top up to: 60% ×100×65 = $3,900 Top up amount = $3,900 - $2,500 = $ 1,400 Why do investors buy securities on margin? • They do so when they wish to invest an amount greater than their own money allows. Thus, they can achieve greater upside potential, but they also expose themselves to greater downside risk. • Investor’s rate of return = πΈππ π£πππ’π ππ π βππππ −π ππππ¦ππππ‘ ππ πππππππππ πππ πππ‘ππππ π‘+π·ππ£ππππππ Example: πΈππ’ππ‘π¦ πππ£ππ π‘ππ Initial Condition: • Share price $100 Change in stock price • Initial margin 60% • Maintenance margin 40% • Shares purchased 1000 • Interest rate 9% p.a. • No dividends +$30 0 -$30 −1 End-ofyear value of shares Repayment of principal and interest Investor’s rate of return $130,000 $43,600 44% 100,000 43,600 -6% 70,000 43,600 -56% Short Sale • Purpose: profit from a fall in a security price • Mechanism: – Borrow stock from a broker – Sell the stock and deposit proceeds and initial margin in an account – Close out by buying back the stock and return it to the one from who you borrow. Short Sale and Margins • Initial Condition: Short Sale DotCom Stock at $100 Initial Price $100 Initial Margin 50% Maintenance Margin 30% DotCom 1,000 shares Sale Proceeds $100,000 Stock Owed 1,000 shares Assets $100,000 (sale proceeds) Liabilities $100,000 (shares owed: 100×1,000) Equity $50,000 (initial margin, in cash) $50,000 Short Sale and Margins • New Condition: DotCom Price falls to $70 now Assets Liabilities $100,000 (sale proceeds) $70,000 (shares owed: 70×1,000) Equity $50,000 (initial margin, in cash) $80,000 • Profit = ending equity – beginning equity = decline in share price * number of shares sold short = $80,000 - $50,000 = $30,000 Short Sale and Margins At what price would the investor receive a margin call? Given that maintenance margin = 30% Shares owed = 1,000P Equity = 150,000 - 1000P Percentage margin = (150,000 - 1000P) / 1000P Hence, we get: (150,000 – 1000P) / 1000P = 0.30 Solve to find: P=150,000/130,000 = $115.38 What next: Asset Allocation The most fundamental decision of investing is the allocation of your assets: How much should you own in stocks and bonds? How much should you own in cash reserves? “That decision [has been shown to account] for an astonishing 94% of the differences in total returns achieved by institutionally managed pension funds….There is no reason to believe that the same relationship does not hold true for individual investors.” John Bogle (founder, Vanguard) Summary • • • • What is an investment? What can we invest in? Where can we invest? How can we invest? (to be continued...) • Readings: BKMJ Chapter 1, 2, 3, 4, 5.