Chapter 12 - Understanding Investment Data Flashcards

1
Q

Population

A

Is all members of a specified group

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2
Q

Sample

A

Subset of the population that provides information on the population

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3
Q

Frequency distribution

A

Grouping of data into a number of non-overlapping classes or intervals.

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4
Q

Histogram

A

Bar chart showing the absolute frequency on the vertical axis and intervals on the horizontal axis.

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5
Q

Arithmetic mean

A

Simple average.

Add all figures up and divide it by the number of periods

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6
Q

Geometric mean

A

Accurate average of historic values

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7
Q

Median

A

Value of the middle item of a number of readings.

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8
Q

Range

A

Range between the highest and lowest value

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9
Q

Variance

A

Calculated using the squares of the deviations from the mean.

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10
Q

Standard Deviation

A

Commonly used method for measuring risk is standard deviation.

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11
Q

Discrete distribution

A

Random variable can take on a countable number of possible outcomes.

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12
Q

Continuous distribution

A

Unable to count the outcomes, rates of return.

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13
Q

1 Standard Deviation

A

68.3% (mean + 1 standard deviation)

ABC Company LTD
Expected Return - 7%

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14
Q

2 Standard Deviation

A

95.5% (mean + 2 standard deviations)

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15
Q

3 Standard Deviation

A

99.75% (mean + 3 standard deviations)

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16
Q

Data-mining bias

A

This is when forecasting models are derived from searching through historic data for patterns or trading rules.

17
Q

Selection bias

A

This occurs when certain data is excluded from the analysis, possibly because the data was not available

18
Q

Look-ahead bias

A

When a test uses information that was not available at the test date

19
Q

Survivorship bias

A

This type of selection bias occurs when companies that have gone bankrupt or funds or portfolio that have been liquidated