Quant Sampling And Estimation Flashcards

1
Q

Data Mining

A

The practice of determine a model by extensive searching through a data set for statistically significant patterns

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2
Q

Degree of Confidence

A

The probability that a confidence interval includes the unknown population parameter

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3
Q

Degrees of Freedom (df)

A

The number of independent observations used

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4
Q

Estimate

A

The particular value calculated from sample observations using an estimator

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5
Q

Estimator

A

An estimation formula; the formula used to compute the sample mean and other sample statistics are examples of estimators

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6
Q

Indexing

A

An investment strategy in which an investor constructs a portfolio to mirror the performance of a specified index

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7
Q

Inter generation data mining

A

A form of data mining that applies information developed by previous researchers using a dataset to guide current research using the same or related data set

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8
Q

Longitudinal data

A

Observations on characteristics of same observational unit through time

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9
Q

Look ahead bias

A

A bias caused by using information that was unavailable on the test date

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10
Q

Lower bound

A

The lowest possible value of an option

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11
Q

Monetary policy

A

Actions taken by a nations central bank to affect aggregate output and prices though changes in bank reserves, reserve requirements, or its target interest rate

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12
Q

Out of sample test

A

A test of a strategy or model using a sample outside the time period on which the strategy or model was developed

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13
Q

Panel data

A

Observations through time on a single characteristic of multiple observational units

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14
Q

Parameter

A

A descriptive measure computed from or used to describe a populating of data, conventionally represented by Greek letters

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15
Q

Point estimate

A

A single numerical estimate of an unknown quantity, such as a population parameter

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16
Q

Sample selection Bias

A

Bias introduced by systematically excluding some members of the population according to a particular attribute - for example, the bias introduced when data availability less to certain observations being excluded from the analysis

17
Q

Sampling

A

The process of obtaining a sample

18
Q

Sampling distribution

A

The distribution of all distinct possible values that a statistic can assume when computed from samples of the same size randomly drawn from
The same population

19
Q

Sampling error

A

The difference between the observed value of a statistic and the quantity it is intended to estimate

20
Q

Sampling plan

A

The set of rules used to select a sample

21
Q

Sharpe ratio

A

The average return in excess of the risk free rate divided by the standard deviation of return; a measure of the average excess return earned per unit of standard deviation of return

22
Q

Simple random sample

A

A subset of a larger population created in such a way that each element of the population has an equal probability of being selected to the subset

23
Q

Simple random sampling

A

The procedure of drawing a sample to satisfy the definition of a simple random sample

24
Q

Statistic

A

A quantity computed from or used to describe a sample of data

25
Q

Survivorship bias

A

The bias resulting from a test designed that fails to account for that gone bankrupt, merged or are otherwise no longer reported in a database

26
Q

Systematic sampling

A

A procedure of selecting every kth member until reaching a sample of the desired size. The sample that results from this procedure should be approximately random

27
Q

Time period bias

A

The possibility that when we use a time series sample our statistics conclusion may be sensitive to the starting and ending dates of the sample