Portfolio Management Flashcards

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1
Q

Linear regression requires the analyst to plot combinations of the asset’s return and the market return, and then

A

drawing a line through the points such that it minimises the sum of squared deviations from the line.

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2
Q

A stock plotted below the Security Market Line:

A

Is overpriced

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3
Q

limitation of the Treynor ratio

A

It does not work for negative beta assets

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4
Q

Smart Beta strategies focus on factors such as

A

value, momentum or dividend characteristics. Compared to traditional, passive funds they tend to have higher turnover and higher management fees

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5
Q

money market mutual fund and bond mutual fund,

A

> the maturity is as short as overnight and rarely longer than 90 days.
bonds with maturities as short as one year and as long as 30 years.

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6
Q

The core portfolio and the satellite portfolio

A

> does form the majority of assets, and is managed on a passive basis.
The aim is to earn the long term systematic risk premium in a tax efficient manner.

> aims to generate high active return, with no regard for the benchmark.

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7
Q

To add to a portfolio

A

> Sharpe ratio of the new asset to be greater than the Sharpe ratio of the existing portfolio multiplied by the correlation of the new asset and existing portfolio

> add a new asset to our portfolio with a negative expected return, if that asset significantly reduces portfolio risk

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8
Q

beta

A

βp = Cov(Rp,Rm)/σm2

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9
Q

(Rp – Rf) × (σm/σp) + Rf – Rm

A

(Rp – Rf) × (σm/σp) + Rf – Rm

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10
Q

A multi-boutique asset manager firm is best described as a(

A

holding company which owns several asset management firms with specialized investment strategies

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11
Q

Historical Return and Risk

A

Risk-return trade-off
1 + E(R) = (1 + rrF) x [1 + E(π)] x [1 + E(RP)]

Expected return = Real risk-free interest rate x Inflation rate x Risk premium
Financial assets
* Defined by risk and return characteristics
Return
* Periodic income
- E.g. cash dividends or interest payments
* Capital gain/loss
HPR:
Capital gain Dividend yield

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12
Q

Risk-return trade-ofF

A
  • Positive relationship between expected risk and returns
  • Higher return only possible with higher risk investments
  • E.g. small caps have higher risk and return than large cap stocks
  • Risk premium
  • Excess return over nominal risk-free interest rate
  • Equity return > Bond returns > T-bill returns
  • Market prices reward higher risk with higher returns
  • Characteristic of a risk-averse investor

Other investment characteristics
* Evaluating investments using mean and variance
- Assumes returns are normally distributed
- Assumes markets are operationally and informationally efficient

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13
Q

Investment Characteristics of Assets

A

Skewness
Refers to extent to which a distribution is not symmetrical.
Positively skewed
Mean > Median > Mode
Negatively skewed
Mean < Median < Mode

  • 68% of observations within ± 1σ of mean
  • 95% of observations within ± 2σ of mean
  • 99% of observations within ± 3σ of mean

Kurtosis
* Measure that tells us when a distribution is more or less peaked than a normal
distribution
* Kurtosis increases an asset’s risk
- Not captured in a mean-variance framework
- Use value-at-risk
Leptokurtic (Fat-tail) distribution
Platykurtic (Thin-tail) distribution
Mesokurtic (Normal) distribution

Market characteristics
* Cost of trading
- Brokerage commission
- Bid-ask spread
* Difference between buying and selling price
* Affected by liquidity
- Price impact
* How price moves in response to an order in the market
* Extent of price impact determined by liquidity
* Liquidity
- More of an issue in emerging markets rather than developed markets
- More of an issue in corporate bond markets
* Especially lower credit quality bonds

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14
Q

Risk Aversion and Portfolio Selection
Utility theory and indifference curves

A

Utility theory and indifference curves
* Risk averse investor
- Utility derived from guaranteed income is greater than alternative
* Utility
- Measure of relative satisfaction that investor derives from different portfolios
- Can quantify rankings of investment choices using risk and return
* Assume investors are risk averse
Utility of an investment (U)=E(R) -0.5Asigma^2

Conclusions:
* Utility is unbounded on both sides
- Highly positive or highly negative
* Higher return contributes to higher utility
* Higher variance reduces utility
- Reduction in utility gets amplified by risk aversion coefficient
* Utility can be increased with higher return or lower risk
* Utility does not indicate or measure satisfaction
- Investors prefer investments with higher utility

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15
Q

Risk Aversion and Portfolio Selection
Indifference curves

A
  • Plots combinations of risk-return pairs that an investor would
    accept to maintain a given level of utility
  • Curve connects points of equal satisfaction (utility)
  • The steeper the curve, the greater the risk aversion
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16
Q

Application of utility theory to portfolio selection

A
  • Risk-free asset and risky asset
  • Risk-free asset has zero risk and return, Rf
  • Risky asset has risk of
    σi (>0) and expected return E(Ri)- E(Ri) > Rf
    E(Rp) = rf + wi(Ri-Rf)

Expected Risk
(1−w )σ

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17
Q

Capital allocation line (E(r) vs standard deviation
Represents portfolio available to an investor

A

ER = rf +sigma p (E(r) - rf)/ sigma i

Sharpe - (E(r) - rf)/ sigma i

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18
Q

Portfolio of many risky assets

A

sigma^2P = AVG sigma^2 / N + (N-1)/N* AVG COV
First term
- As N becomes larger, contribution of one’s asset variance becomes
negligible
* Second term
- Approaches average covariance as N increases
* If all assets have same variance and same weighting
- Correlation is the main determining factor in portfolio risk
sigmaP = (sigma^2 / N + (N-1)/N* COV)^(1/2)

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19
Q

Portfolio Risk
Power of diversification

A
  • Correlation is key in diversification of risk
  • Lower correlations are associated with lower risk
  • Challenge is to find assets with correlations much lower than +1
  • Reasonable to assume historical risk is a proxy for future risk
  • Risks do not change dramatically from period to the next
  • Correlations
  • Above 0.90 considered to be high
  • Below 0.3 considered attractive for diversification
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20
Q

Avenues for diversification

A
  • Diversify with asset classes
  • Correlations among asset classes do not appear to be high
  • Can also use industries and sectors
  • E.g. energy stocks and healthcare stocks
  • Can be costly for small portfolios
  • Diversify with index funds
  • Cheaper to use mutual funds and ETFs
  • Diversification among countries
  • Countries are different because of industry focus, economic policy
    and political climate
  • Diversify by not owning your employer’s stock
  • Evaluate each asset before adding to a portfolio
  • There may already be sufficient exposure to asset class
  • Buy insurance for risky portfolios
  • Negative correlation with assets
  • Reduces exposure to an extreme loss
  • E.g. gold or buying a put option
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21
Q

Optimal risky portfolio – adding in risk-free asset

A

Optimal Risky Portfolio
where Efficient frontier of risky assets is tangent to CAL

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22
Q

Efficient Frontier and Investor’s Optimal Portfolio
Two-fund separation theorem

A
  • Investors will hold a combination of risk-free assets and an optimal
    portfolio of risky assets
  • Regardless of taste, risk preferences, and initial wealth
  • Investor’s investment problem
  • Investment decision
  • Identify optimal portfolio based on return, risk, and correlations
  • Ignore investor’s preferences
  • Financing decision
  • Using indifference curves, select portfolio on CAL
  • Determines allocation to risk-free asset (lending) and optimal risky portfolio
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23
Q

Portfolio Planning

A

Definition
* Program developed in advance of constructing a portfolio that is expected
to satisfy client’s investment objectives
* Investment policy statement (IPS)
- Written document governing portfolio planning process which is often supported by a document outlining policy on sustainable investing IPS
* Starting point of portfolio management process
* Communicates a plan for achieving investment success
- Client achieving investment goals
- Comfortable with risks taken
* Fact finding discussion with client
* Construction of IPS
- Should be standard procedure
- May be required by law

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24
Q

Major components of an IPS

A

Introduction Describes the clients
Statement of purpose States the purpose of the IPS
Statement of duties
and responsibilities
Details duties and responsibilities of the client, custodian of client’s assets and
investment managers
Procedures Explains steps to take to keep IPS current and procedures to follow to respond to various contingencies
Investment objectives Explains client’s objectives in investing
Investment constraints Presents the factors that constrain the client in seeking to achieve the investment objectives
Investment guidelines Provides information about how policy should be executed and on specific types of asset excluded from investment
Evaluation and review Provides guidance on obtaining feedback on investment results
Appendices
Strategic asset allocation. Baseline allocation of portfolio asset to asset
classes
Rebalancing policy. Investor’s policy with respect to rebalancing asset class

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25
Q

Portfolio Planning
Risk objectives

A
  • IPS should clearly state risk tolerance of client
  • Quantitative risk objectives can be absolute or relative
  • Absolute
  • i.e. not to lose more than 5% of capital in a year
  • Measure using variance or standard deviation
  • Relative
  • Relate risk to one or more objectives
  • Measure using tracking risk or tracking error
  • Standard deviation of difference between a portfolio’s returns and its benchmark returns
  • Tolerance
  • Function of client’s ability to accept (bear) risk and their willingness to take risk
  • Items that impact on ability to take risk
  • Time horizon, expected income, level of wealth relative to liabilities
  • Willingness
  • Based on personality
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26
Q

Portfolio Planning
Conflict between ability and willingness to take risk

A
  • Ability to take risk – below average
  • Willingness to take risk – above average
  • Assess tolerance as below average
  • Ability to take risk – above average
  • Willingness to take risk – below average
  • Counsel client as to implications, i.e. reduced return
  • Use lower of two factors
  • Document decisions made
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27
Q

Portfolio Planning
Return objectives

A
  • Absolute or relative basis
  • Absolute
  • Client wants to achieve 8% return pa
  • Relative
  • Desire to outperform benchmark by 1%
  • Institutional investors may set a return objective relative to a peer group or
    universe of managers
  • Can be problematic if limited information is known about peer group
  • Good benchmark should be investable
  • Can be stated before or after fees
  • Can be stated pre or post-tax
  • Should be a required return to meet a certain objective
  • Should be realistic and state if it is nominal or real
  • Should be consistent with client’s risk objective
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28
Q

Portfolio Planning
Constraints on portfolio selection

A
  • Liquidity
  • Requirements to withdraw funds from portfolio
  • Invest in liquid assets
  • Time horizon
  • IPS should state time horizon over which the investor is investing
  • Period of accumulation before asset withdrawal
  • Period of time before client circumstances are likely to change
  • Will affect nature of investments chosen for portfolio
  • Tax concerns
  • Tax status varies among investors
  • Income is normally taxed more highly than gains
  • Legal and regulatory factors
  • IPS should state any legal and regulatory factors
  • Institutional investors may have investment restrictions
  • Unique circumstances and ESG considerations
  • Anything else that is likely to have a material impact on portfolio
  • Concentration risk
29
Q

Portfolio Planning
Constraints on portfolio selection
* The six ESG investment approaches

A
  • Negative screening
  • Excluding companies based on business practices or environmental or social concerns
  • Positive screening
  • Selecting companies based on ESG criteria, typically ESG performance relative to industry peers
  • ESG integration
  • Systematic consideration of material ESG factors in asset allocation and security selection to
    achieve or exceed the product’s stated investment objectives
  • Thematic investing
  • Investing in themes or assets related to ESG factors
  • Engagement/active ownership
  • Using shareholder power to influence corporate behavior around ESG factors
  • Impact investing
  • Investments made with the intention of generating positive and measurable social and environmental impact whilst at the same time making a financial return
30
Q

Portfolio Planning
Gathering client information

A
  • Fact finding exercise
  • Should take place at the beginning of client relationship
  • Information
  • Client’s circumstances
  • Family and employment situation
  • Health of client and dependents
  • Key stakeholders in an institution
  • Client’s objective and requirements
  • Informal or structured interviews/questionnaires
  • Good record keeping is essential
31
Q

Portfolio construction

A

Asset allocation
* Percentage allocations to asset classes
* Asset classes
- Category of assets that have similar characteristics, attributes and
risk-return relationships
* Strategic asset allocation
- Set of exposures to IPS-permissible asset classes expected to achieve
client’s long-term objectives, given client’s constraints
- Focuses on a number of important investment principles
* Portfolio’s systematic risk accounts for most of its returns
* Returns to groups of similar assets reflect exposures to certain sets of systematic factors
- Results from combining constraints, objectives, and capital market expectations

32
Q

Strategic asset allocation

A
  • Need to define asset classes
  • Determine risk-return characteristics and correlations with other asset classes
  • Criteria
  • Contain relatively homogenous assets
  • Provide diversification relative to other asset classes
  • Paired correlations of assets should be relatively high within an asset class
  • Paired correlations of assets should be relatively low between asset classes
  • Investments with similar returns
  • Choose those with the lowest risk
  • Investments with similar risks
  • Choose those with the highest returns
  • Investors’ utility increases with higher expected returns and lower risk
33
Q

Steps toward an actual portfolio

A

Strategic asset allocation does not represent an actual investment portfolio
* Risk budgeting
- Next step in the process
- Process of deciding on amount of risk to assume in a portfolio
- Subdivide over sources of investment return
* Strategic, tactical asset allocation and security selection
- Choice between active and passive management
* Tactical asset allocation
- Deviate from asset weightings to add value
- E.g. overweight equities due to better expected performance
* Security selection
- Attempt to generate higher returns than benchmark by selecting securities with higher returns
- Depends on skills of manager and efficiency of the market

34
Q

Portfolio Construction
ESG considerations in portfolio planning and construction
Environmental issues

A

Climate change/carbon
emissions
Air/water pollution
Biodiversity
Deforestation
Energy efficiency
Waste management
Water scarcity

35
Q

Portfolio Construction
ESG considerations in portfolio planning and construction
Social issues

A

Data protection and
privacy
Customer satisfaction
Gender and diversity
Employee engagement
Community relations
Human rights
Labor standards

36
Q

Portfolio Construction
ESG considerations in portfolio planning and construction
Governance issues

A

Audit committee
structure
Board composition
Bribery and corruption
Executive compensation
Lobbying
Political contributions
Whistleblower schemes

37
Q

Portfolio Construction
ESG considerations in portfolio planning and construction

A
  • Many organizations and regulatory bodies have derived frameworks setting out
    standards on a number of these issues
  • Such standards help form the basis for SRI policies for asset owners
  • Shareholder engagement – clients and investment managers have to be clear
    about the exercise of voting rights and entering into conversations with company
    management
  • Impact investing selects investment opportunities based on the potential to
    positively affect ESG issues
  • The effort and costs associated with limiting the investment universe as part of
    sustainable investing suggests a negative impact on returns
  • Sustainable investing proponents suggest otherwise and argue that potential
    improvements in governance and the avoidance of risk can have a positive effect
  • Academic research is mixed on the impact of ESG factors on returns
38
Q

Portfolio Construction
Alternative portfolio organizing principles

A

Traditional portfolio planning and construction is a rigid process. Two newer, less
structured developments have emerged.
1. Growth of ETFs in combination with ‘robo-advisors’
- ETFs track an index, are easily tradable and relatively cheap
- ETFs cover equity, fixed income and commodities and enable investors to get access to these different asset classes quickly and cheaply
- Robo-advice has further reduced the cost for retail investors to create a well-diversified portfolio
2. Risk parity investing
- This is a response to the perceived instability of asset class correlations and volatilities,
- Asset classes are weighted by risk contribution – less in riskier assets such as equity and more in less risky assets such as fixed income

39
Q

Cognitive Errors

A
  • Cognitive errors may be the result of faulty reasoning
  • Cognitive errors are more easily corrected than emotional biases
  • Corrected through better information, education and advice
40
Q

Emotional biases

A
  • Emotional biases are based on reasoning influenced by emotions and feelings
  • Harder to correct because they are based on impulses and intuition
41
Q

Behavioral biases:
Cognitive errors: Belief perseverance biases (Cognitive dissonance) or Information processing biases
Emotional biases

A

Belief perseverance biases (Cognitive dissonance)
1. Conservatism bias
2. Confirmation bias
3. Representative-ness
bias
4. Illusion of control
bias
5. Hindsight bias

Information processing biases
1. Anchoring and
adjustment bias
2. Mental accounting
bias
3. Framing bias
4. Availability bias

Emotional biases
1. Loss aversion bias
2. Overconfidence bias
3. Self-control bias
4. Status quo bias
5. Endowment bias
6. Regret aversion bias

42
Q

Cognitive Errors – Belief Perseverance Biases
* Conservatism bias

A
  • Conservatism bias
  • Maintain prior views by inadequately incorporating new information
  • Consequences of conservatism bias
  • Maintain or be slow to update a view or forecast even when presented with new
    information
  • Maintain a poor belief rather than deal with the stress of updating beliefs given complex
    data
  • How to overcome
  • Be aware that the bias exists
  • Properly analyse and weight new information
  • Ask yourself – how does this new information change my forecast?
  • If information is difficult to understand or interpret then seek guidance form someone who
    does understand/can explain
43
Q

Cognitive Errors – Belief Perseverance Biases
* Confirmation bias

A
  • Confirmation bias
  • Look for what agrees with beliefs and reject what contradicts beliefs
  • Consequences of confirmation bias
  • Mighty only consider positive and ignore negative aspects of an existing investment
  • Develop screening criteria while ignoring information which refutes the validity of the
    criteria or supports other criteria
  • Under-diversify portfolios by concentrating on a small number of stocks
  • Hold a larger position in their employer’s stock because they believe in the company
  • How to overcome
  • Actively seek out information that challenges existing beliefs
  • Corroborate an investment decision by using research from another perspective or
    source, i.e. that applies a different criteria to what you might use
44
Q

Cognitive Errors – Belief Perseverance Biases
* Representativeness bias

A
  • Representativeness bias
  • Classify new information based on past experiences
  • Relying on stereotypes
  • Base-rate neglect - a phenomenon’s rate of incidence in a larger population is neglected in favour of specific information
  • Sample-size neglect – assuming that small samples are representative of populations
  • Consequences of representativeness bias
  • Adopt a view/forecast based almost exclusively on specific information or a small sample
  • Update beliefs using simple classifications rather than deal with the stress of updating beliefs given high cognitive costs of complex data
  • How to overcome
  • If you suspect that representativeness bias might be a problem then ask the question:
  • What is the probability that the investment under consideration belongs to
  • Group A (the group it resembles or is representative of) or
  • Group B (the group it is statistically more likely to belong to)
45
Q

Cognitive Errors – Belief Perseverance Biases
* Illusion of control bias

A
  • Illusion of control bias
  • People believe they can control or influence outcomes, when they cannot
  • A classic example of this is people choosing their own lottery numbers rather than having
    random numbers chosen by the machine
  • Consequences of illusion of control bias
  • Under-diversify portfolios by concentrating on a small number of stocks that they feel
    they have control over, e.g. employer’s stocks
  • More trading activity than is prudent
  • Construct models and forecast that are overly detailed
  • How to overcome
  • Recognize and understand that investing is subject to probability
  • Investments/companies are subject to macroeconomic and industry forces, as well as actions of
    other parties
  • Seek alternative viewpoints
  • Ask – What are the downsides? What might go wrong?
  • Seek opinions from people with the opposite views
46
Q

Cognitive Errors – Belief Perseverance Biases
* Hindsight bias

A
  • Hindsight bias
  • Selective perception
  • People tend to remember their own predictions that did occur more than their own
    predictions that didn’t occur
  • Consequences of hindsight bias
  • Investors overestimate the degree to which they correctly predicted an outcome
  • Unfairly assess money manager or security performance
  • Performance is judged against what has happened as opposed to expectations at the time
  • How to overcome
  • Once understood hindsight bias should be recognizable
  • Carefully record investment decisions and key reasons for making those decisions in
    writing at the time the decisions were made
  • This helps to answer the question – Am I rewriting history?
47
Q

Cognitive Errors – Information-Processing Biases
* Anchoring and adjustment bias

A
  • Anchoring and adjustment bias
  • Use of an initial default number (‘anchor’)
  • Related to conservatism bias
  • E.g. analysts are unlikely to correctly adjust for earnings announcements in their own
    forecasts
  • Consequences of anchoring and adjustment bias
  • Investors stick too closely to original estimates when learning new information
  • This applies to both upward and downward adjustments
  • How to overcome
  • Ask questions that might reveal an anchoring and adjustment bias
  • Am I holding on to a stock based on rational analysis or am I trying to attain a price that I am
    anchored to, such as the purchase price
  • Am I making a forecast based on previous observations or based on future expectations
  • Recognize that revenues/profits in one period are based on conditions in that period and
    as conditions change revenues/profits are likely to be somewhat different
48
Q

Cognitive Errors – Information-Processing Biases
* Mental accounting bias

A
  • Mental accounting bias
  • Treating one sum of money different to another equal sum of money
  • Making investments in a layered pyramid style where each layer addresses a specific
    goal
  • Consequences of mental accounting bias
  • Neglect opportunities to reduce risk by combining assets with low correlations
  • Irrationally distinguish between returns derived from income and those derived from
    capital appreciation
  • Believing that greater risk can be taken with income/capital gains than with the original
    invested capital
  • Only betting with ‘the house‘s money’
  • How to overcome
  • Recognize the drawbacks – the main one being that correlations between investments
    are not considered, leading to unintentional risk-taking
  • Create a portfolio strategy that takes into account all assets
49
Q

Cognitive Errors – Information-Processing Biases
* Framing bias

A
  • Framing bias
  • The processing of information is dependent on how the question is framed
  • Narrow framing is losing sight of the big picture
  • Consequences of framing bias
  • Misidentify risk tolerances because of how questions about risk tolerance are framed
  • Might focus on short-term price fluctuations whilst ignoring long-run considerations
  • How to overcome
  • Ask – Is the decision based on focusing on a net gain or a net loss position?
  • Framing a decision as a potential net loss often leads to choosing a riskier investment
  • A probable loss is preferred to a sure loss
  • Framing a decision as a potential net gain often leads to choosing a less risky investment
  • A sure gain is preferred to a probable gain
  • Try to avoid previous losses and gains and focus on the future prospects of an
    investment
50
Q

Cognitive Errors – Information-Processing Biases
* Availability bias

A
  • Availability bias
  • A heuristic approach of estimating probabilities based on how easily the result comes to mind, e.g. an answer that comes to mind quicker than another is more likely to be chosen even if it is wrong
  • Consequences of availability bias
  • Investors may limit their investment opportunity set, e.g. always investing in stocks rather than bonds
  • Choosing an investment, investment adviser, mutual fund based on advertising or news coverage
  • Failure to diversify – make investment choices based on a narrow range of experience
  • How to overcome
  • Develop an appropriate investment strategy – research and analyze investment
    decisions before making them and focus on long-term historical data
  • Ask questions such as:
  • Did you make the investment because you like the company’s products
  • Did you make the investment based on your familiarity with the industry or country
51
Q

Emotional Biases
* Loss aversion bias

A

Loss aversion bias
- People prefer avoiding losses to achieving gains
- Rational investors should accept more risk to get more gains but in reality investors tend to accept more risk to avoid losses
- Leads investors to hold on to losers, and lock in profits early (disposition effect)
* Consequences of loss aversion bias
- Holding losing investments too long in the hope that they can get back to breakeven
- Selling early in case gains disappear
* How to overcome
- Employ a disciplined approach to investing

52
Q

Emotional Biases
* Overconfidence bias

A

Overconfidence bias
- More faith in own abilities than warranted
- Sometimes referred to as ‘illusion of knowledge bias’ or ‘self-attribution bias’
* People take credit for successes but assign blame to others for failures
- Can lead to overestimating expected returns
* Consequences of overconfidence bias
- Underestimate risk and overestimate expected returns
- Hold poorly diversified portfolios which may mean significant downside risk
* How to overcome
- Review trading records to identify both winners and losers
* Often investors suffering from this bias remembers winners but forget losers
- Consider a well-known Wall Street adage - ‘Don’t confuse brains with a bull market’
* Did you do well because the market did well?

53
Q

Emotional Biases
* Self control bias

A
  • Self control bias
  • A lack of self discipline results in investors opting for short term satisfaction instead of long term goals
  • Sacrifices in the present will only be tolerated if it will lead to much greater payoffs in the future
  • Consequences of self control bias
  • Save insufficiently for the future which may later lead to accepting too much risk in a
    portfolio to generate higher returns
  • Borrow excessively to finance present consumption
  • How to overcome
  • Put in place a proper investment plan and work to a personal budget
  • Put plan in writing and review regularly
  • Maintain a strategic asset allocation based on a thorough evaluation
54
Q

Emotional Biases
* Status quo bias

A
  • Status quo bias
  • Do nothing, keep things as they are
  • Often discussed in tandem with endowment and regret-aversion since ultimately they all involve maintaining existing positions
  • In status quo bias positions are maintained largely due to inertia
  • Consequences of status quo bias
  • Unknowingly maintaining portfolios with risk features that are inappropriate
  • Fail to explore other opportunities
  • How to overcome
  • May be exceptionally strong and difficult to correct
  • Education is essential
  • Quantify the risk-reducing and return-enhancing benefits of diversification and
    appropriate asset allocations
55
Q

Emotional Biases
* Endowment bias

A

Endowment bias
- People place more value on assets they own
* In economic theory the price a person is willing to pay for a good should be the price a person is
willing to sell it for but this is ignored
- Purchased as well as inherited goods can be subject to this bias
* Consequences of endowment bias
- Results in failure to sell off assets, and replace with new assets
- Continue to hold classes of asset with which you are familiar
- May maintain an inappropriate asset allocation
* How to overcome
- Ask the question – If cash had been inherited, how would that have been invested?
* Often the answer is into something very different
- If the sell price you want is higher than the realistic buy price ask the questions:
* Would you buy at the current price?
* Why are you not buying more of this stock today?

56
Q

Emotional Biases
* Regret aversion bias

A
  • Regret aversion bias
  • Avoid making decisions in fear it may be wrong
  • We can think of actions people take and actions that people could have taken
  • Regret is greater when unfavorable outcomes are the result of actions taken
  • Consequences of regret aversion bias
  • Investors may be too conservative as a result of poor outcomes on risky investments in the past which can lead to long-term underperformance
  • Engage in herding behaviour
  • Choosing stocks of less well-known companies is perceived as riskier and involves more personal responsibility and potential for regret
  • How to overcome
  • Quantify the risk-reducing and return-enhancing benefits of diversification and
    appropriate asset allocations
  • Recognize that losses happen to everyone and bear in mind the long-term benefits of holding risky assets, i.e. markets always bounce back
57
Q

How Behavioral Finance Influences Market Behavior
Defining Market Anomalies

A

Defining Market Anomalies
* Anomalies are apparent deviations from the efficient market hypothesis, identified
by persistent abnormal returns that differ from zero and are predictable in
direction
* Not every deviation is anomalous
- Misclassifications stem from three sources
1. Choice of asset pricing model – normal return is a feature of an asset pricing model
- If a reasonable change in the method of estimating normal returns causes an anomaly to disappear then it’s reasonable to suggest that it is not an anomaly
2. Other apparent anomalies might be explained by small sample sizes, a statistical bias in selection or survivorship, or data mining
3. Markets can, from time to time, present temporary disequilibrium behavior which are unusual features that might persist for a number of years before disappearing
- Publication of the anomaly, which draws attention to the pattern, usually starts the arbitrage that removes the behavior

58
Q

How Behavioral Finance Influences Market Behavior
Momentum

A
  • Momentum or trending effects are such that future price behavior correlates with
    that of the recent past
  • The positive correlation typically persists for up to two years before reversing or
    reverting to the mean
  • It can be partly explained by availability, hindsight and loss aversion biases
59
Q

How Behavioral Finance Influences Market Behavior
Bubbles and crashes

A
  • Some bubbles have rational explanations
  • Investors may anticipate a crash but don’t know the exact timing
  • Fund managers might stay in too long because they don’t want to ‘miss out’ or might exit an investment earlier because they don’t want to ‘take the hit
  • In bubbles, investors often display overconfidence, confirmation , self-attribution
    and regret aversion biases
  • As a bubble unwinds, markets may underreact because of anchoring bias
60
Q

How Behavioral Finance Influences Market Behavior
Value

A
  • Value stocks are characterized by low price-to-earnings ratios, high book-tomarket equity and low price-to dividend ratios
  • Growth stocks have opposite features
  • Fama and French found that value stocks outperformed growth stocks in 12 of 13
    major markets between 1975-1995
  • However, they also found that this apparent anomaly is due to the compensation
    for risk exposures as opposed to mispricings
  • Further studies have concluded the complete opposite, i.e. presenting the
    anomalies as mispricings rather than risk compensation
  • These studies recognize the emotional factors in appraising stocks
  • The halo effect extends a favorable evaluation of some characteristics to others
  • A company with a good growth record and good previous share price performance might
    be seen as a good investment
  • Home bias anomaly is such that portfolios exhibit a strong bias to domestic
    securities in the context of global portfolios
61
Q

Maintance Margin

A

Req min equity / Margin call price

Req min equity = Initial equity + Margin call price - Initial Price

Initial equity = Initial Price * 1/Leverage ratio

62
Q

financial risks are market risk, credit risk, and liquidity risk.

A

market risk, credit risk, and liquidity risk.

63
Q

Market risk is the risk that

A

arises from movements in interest rates, stock prices, exchange rates, and commodity prices

64
Q

Behavioral biases: Cognitive errors: Belief perseverance
biases (Cognitive dissonance)

A
  1. Conservatism bias
  2. Confirmation bias
  3. Representative-ness
    bias
  4. Illusion of control bias
  5. Hindsight bias
65
Q

Behavioral biases: Cognitive errors: Information processing
biases

A
  1. Anchoring and adjustment bias
  2. Mental accounting
    bias
  3. Framing bias
  4. Availability bias
66
Q

Behavioral biases: Emotional biases

A
  1. Loss aversion bias
  2. Overconfidence bias
  3. Self-control bias
  4. Status quo bias
  5. Endowment bias
  6. Regret aversion bias
67
Q

Momentum

A
  • Momentum or trending effects are such that future price behavior correlates with
    that of the recent past
  • The positive correlation typically persists for up to two years before reversing or
    reverting to the mean
  • It can be partly explained by availability, hindsight and loss aversion biases
68
Q

Bubbles and crashes

A
  • Some bubbles have rational explanations
  • Investors may anticipate a crash but don’t know the exact timing
  • Fund managers might stay in too long because they don’t want to ‘miss out’ or might exit
    an investment earlier because they don’t want to ‘take the hit
  • In bubbles, investors often display overconfidence, confirmation , self-attribution
    and regret aversion biases
  • As a bubble unwinds, markets may underreact because of anchoring bias
69
Q

Value

A

Value
* Value stocks are characterized by low price-to-earnings ratios, high book-tomarket equity and low price-to dividend ratios
* Growth stocks have opposite features
* Fama and French found that value stocks outperformed growth stocks in 12 of 13
major markets between 1975-1995
* However, they also found that this apparent anomaly is due to the compensation
for risk exposures as opposed to mispricings
* Further studies have concluded the complete opposite, i.e. presenting the
anomalies as mispricings rather than risk compensation
* These studies recognize the emotional factors in appraising stocks
* The halo effect extends a favorable evaluation of some characteristics to others
- A company with a good growth record and good previous share price performance might
be seen as a good investment
* Home bias anomaly is such that portfolios exhibit a strong bias to domestic
securities in the context of global portfolios