Chapter 6: Portfolio theory Flashcards

1
Q

Which statistics measure risk and return according to portfolio theory

A

Variance and mean

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2
Q

Give the two methods to construct a portfolio

A
  1. Maximum return for specified risk
  2. Minimum variance for specified return
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3
Q

Opportunity set

A

Properties of porfolios that are available to the investor

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4
Q

Optimal portfolio

A

How the investor chooses one out of all the feasible portfolios in the opportunity set

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5
Q

What are the broad categories of assumptions underlying porfolio theory

A
  • Statistical and economic
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6
Q

What are the statistical assumptions underlying portfolio theory

A
  • All means, variances and covariances are known
  • Investors make decisions soley on the portfolio mean E and the portfolio variance V
  • There is a fixed single-step period
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7
Q

What are the economic assumptions underlying portfolio theory

A
  • Risk-aversion
  • Non-satiation
  • No transaction costs or taxes
  • Assets can be held in any amount
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8
Q

MPT assumes that only E and V influence investors’ decisions
Expalain the following categories of other influences:
* Type of asset
* Economic
* Statistical

A
  • Marketibility
  • Suitability to liabilities
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9
Q

MPT assumes that only E and V influence investors’ decisions
Expalain the following categories of other influences:
* Type of asset
* Economic
* Statistical

A
  • Higher moments of the distribution such as skewness and kurtosis
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10
Q

MPT assumes that only E and V influence investors’ decisions
Expalain the following categories of other influences:
* Type of asset
* Economic
* Statistical

A
  • Taxes and investment costs
  • Legislation restrictions
  • Trustee’s restrictions
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11
Q

MPT assumes that only E and V influence investors’ decisions
Expalain the following categories of other influences:
* Type of asset
* Economic
* Statistical

A
  • Higher moments of the distribution such as skewness and kurtosis
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12
Q

What do we need to specify a portfolio

In terms of dataset

A
  • N means
  • N variances
  • N(N-1)/2 covariances
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13
Q

What is an inefficient portfolio

A

The investor can find another portfolio with a lower variance with the same mean, or higher mean with the same variance

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14
Q

What is an efficient portfolio

A

The investor cannot find another portfolio with a lower variance with the same mean, or higher mean with the same variance

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15
Q

Once an efficient set has been identified, the rest can be ignored, why?

A

Non-satiation

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16
Q

What do we assume about the optimisation problems when using the Langragian approach

A
  • They are static - involve a single time period
  • The constraints are all strict inequalities