FINAL EXAM Flashcards

1
Q

Environmental and Social factors not reflected in financial valuations

A

ENV
- Carbon emissions
- Resource depletion
SOCIAL
- Labour exploitation - poor working conditions
- Community displacement - infrastructure projects displace communities

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2
Q

5 FORCES OF INTERNALISATION

A
  1. Government
  2. Civil Society
  3. Financials
  4. Consumers
  5. Corporates
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3
Q

Efficient Frontier of Risky Assets - explain how to do one
What are estimated?

A

Set of optimal portfolios that offer the highest return for a given level of risk.
Portfolios on the EF are well-diversified and efficient as they maximise returns while minimising risk

  1. IDENTIFY SET OF RISKY ASSETS
  2. CALCULATE - expected return, risk, correlation/covariance
  3. OPTIMISE PORTFOLIO WEIGHTS
  4. PLOT FRONTIER

ESTIMATES
- Expected return, historical data, CAPM
- Standard deviation, historical data
- Correlation/covariance matrix, historical data

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4
Q

STRUCTURAL + BEHAVIOURAL FACTORS OF EMH AND IMPACTS ON EFFICIENT / NON-EFFICIENT MARKETS

A

Structural
- Info asymmetry, insider trading
- Market frictions, taxes, regulations
- Illiquidity

Behavioural
- Overconfidence/overoptimism
- Regency Bias
- Confirmation Bias - NAIEV ACCEPTANCE, BLINKERED SCEPTICISM

IMPACTS EFFICIENT
- market stability
- fair pricing
- invest strategies, passive index

IMPACTS NON EFFICIENT
- Risk of crash
- unequal playing field
- exploitation

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5
Q

EFFICIENT MARKET HYPOTHESIS VERSUS ADAPTIVE MARKET HYPOTHESIS

A

EMH
- Investor assumes rationality and full info
- Static market efficiency
- Anomalies are exceptions
- Passive investing optimal

AMH
- Learning and bounded rationality
- Dynamic market efficiency
- Anomalies expected as part of changing
- Active strategies effective during inefficiencies

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6
Q

Functions of the financial system and their sustainable impacts.

A
  • Risk management, green investments & climate risk mitigation
  • Monitors investments, ESGs and acountability
  • Payment mechanisms, Digital payments
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7
Q

MARKOWITZ MODEL

A

Optimal portfolio
INPUTS
- expected return
- risk
- correlation between returns
- Portfolio variance

WHY NOT ALWAYS USED?
- data sensitive
- estimation errors
- Practical limitations

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8
Q

VALUE AT RISK (VaR)

HOW TO CALCULATE

WHY USED TO MEASURE RISK

WHY IS EXPECTED SHORTFALL SOMETIMES USED INSTEAD (CVaR)

A

potential loss in value of an asset over defined period for given confidence interval

HOW TO CALCULATE
- Historical simulation
Historical data to predict future losses
- Varience covarience
VaR = U - za X SD

WHY USED TO MEASURE RISK
- simplicity
- risk quantification
- regulatory use

WHY IS EXPECTED SHORTFALL SOMETIMES USED INSTEAD (CVaR)
- Av loss goes beyond VaR
More info

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9
Q

SUSTAINABLE INVESTING

CHALLANGES IN MEASURING SUSTAINABILITY ?

RECENT DEVELOPMENTS

A

Negative screening
- excluding sectors that have negatve sustainable goods
Positive screening
-Actively selecting companies with strong ESG
ESG integration
- incorporates ESG factors into traditional financial analysis

CHALLANGES IN MEASURING SUSTAINABILITY ?
- greenwashing
- data gaps
- subjectivity

RECENT DEVELOPMENTS
- SFDR EU sustainable finance disclosure reg
- CSRD corperate sustainable reporting directive

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10
Q

HOW ARE INDICES USED

CONSTRUCTING AN INDEX

A
  • Benchmark performance indicators
  • Index funds and ETFs
  • Asset allocations
  1. Selection of index universe
  2. Transparecy
  3. Liquidity
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11
Q

TRADITIONAL VS LONG TERM VALUE CREATION

A

TRADITIONAL
- Short term financial
- Maximise shareholder returns
- Take financial and market risks
SHORT TERM PROFITS

LONG TERM VALUE CREATION
- Long term sustainability
- Considers all stakeholders
- Social, env, financial risks
LASTING VALUE THAT BENEFITS SOCIETY

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12
Q

Why invest in bonds with a negative yield?

A
  • Gov bonds - have negative yields - a safe haven for investors
  • Deflation - can go back up - real value positive
  • institutionals often required to hold low risk assets - hard to avoid low yieldse
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13
Q

FUTURE OR FORWARDS

A
  • ENHANCE PORTFOLIO, derivative
  • Hedge risk , against price movement
  • Leverage , leverage large position with small capital outlay
  • Enhance yield , taking positions that benefit from price movement
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14
Q

MARKOWITZ VS. SINGLE INDEX MODEL

A

MARKOWITZ
- correlations minimize portfolio risk for return
- expected return, cov matrix, portfolio variance
- highly diversified
- complex

SIM
- Returns driven by single factor - systematic
- expected return, asset beta, asset specific risks
- over simplifies
- simple

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15
Q

POSITIVES AND NEGATIVES OF SHORT-SELLING

A

POSITIVE
- Price discovery
- liquidity
- hedging

NEGATIVE
-unlimited loss
-market manipulation
-negative impact on company

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16
Q

ESG RISKS

A

ENV - costs from liabilities
SOCIAL - poor labour practicies
REP - scandals

17
Q

CAPM CAPITAL ASSET PRICING MODEL

LIMITATIONS

A

Sharpe 1960s
assumption financial markets are efficent
calculate expected return by considering risk free rate

LIMITATIONS
- assumptions
- estimations
- only focuses on systemic risk

18
Q

INVESTMENT POLICY STATEMENT (IPS)
FACTORS

A

Outlines investor’s goals, constraints and strategies

  • INVESTMENT OBJECTIVES
    return goals, impact on portfolio
    higher return higher risk
  • RISK TOLERANCE
    how much risk willing to take
    LIQUIDITY NEEDS
    how easy it is to convert investment into cash
19
Q

PROS AND CONS OF DERIVATIVES

A

PROS
hedges risk
diversification
CONS
high risk
complicated

20
Q

BOND PRICES IN SECONDARY MARKETS

A
  • interest rates
  • market liquidity
  • economic conditions