Midterm Study Flashcards

1
Q

What are business cycles?

A

Fluctuations in economic activity over time, including expansions and recessions.

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2
Q

Who determines the start and end of recessions?

A

Institutions like the National Bureau of Economic Research (NBER).

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3
Q

Define a recession according to NBER.

A

A significant decline in economic activity across the economy lasting more than a few months.

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4
Q

What behavior does the housing sector exhibit during economic cycles?

A

Rising home prices and construction in expansions and declining prices and reduced activity in recessions.

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5
Q

What does the Neo-Classical School of Economics emphasize?

A

Rational decision-making, market equilibrium, and minimal government intervention.

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6
Q

What is the focus of the Austrian School of Economics?

A

Individual decision-making, entrepreneurship, and the role of credit expansion in business cycles.

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7
Q

What is the key argument of the Monetarist School of Economics?

A

Controlling money supply is key to managing inflation and economic stability.

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8
Q

What does the Minsky Instability Hypothesis suggest?

A

Financial stability leads to excessive risk-taking, resulting in financial crises.

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9
Q

Define ‘Employed’.

A

Individuals currently working for pay.

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10
Q

What is the ‘Labor Force’?

A

The sum of employed and unemployed persons.

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11
Q

Define ‘Unemployed’.

A

Individuals without a job who are actively seeking work.

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12
Q

How is the Unemployment (UE) Rate calculated?

A

(Unemployed / Labor Force) × 100%.

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13
Q

What is ‘Frictional Unemployment’?

A

Short-term joblessness due to normal job transitions.

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14
Q

What does the Labor Force Participation Rate measure?

A

(Labor Force / Working-Age Population) × 100%.

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15
Q

Define ‘Underemployed’.

A

Individuals working part-time or below their skill level.

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16
Q

What are ‘Discouraged Workers’?

A

Unemployed individuals who have stopped job searching.

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17
Q

Define ‘Voluntarily Unemployed’.

A

Individuals who choose not to work.

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18
Q

What is ‘Hyperinflation’?

A

Extremely high inflation, usually over 50% per month.

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19
Q

Define ‘Deflation’.

A

A general decrease in price levels.

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20
Q

What is ‘Disinflation’?

A

A slowdown in the rate of inflation.

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21
Q

What causes ‘Cost-Push Inflation’?

A

Rising costs of production cause higher prices.

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22
Q

What is ‘Demand-Pull Inflation’?

A

Excess demand in the economy drives up prices.

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23
Q

What is data visualization?

A

The graphical representation of data for better understanding.

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24
Q

What type of data is represented by numbers?

A

Numerical Data.

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25
Q

Define ‘Categorical Data’.

A

Data sorted into categories (e.g., colors, brands).

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26
Q

What is ‘Continuous Data’?

A

Data that can take any value within a range (e.g., weight, height).

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27
Q

Define ‘Discrete Data’.

A

Data that has distinct, separate values (e.g., number of students).

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28
Q

What is ‘Nominal Data’?

A

Categorical data without an inherent order (e.g., gender, colors).

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29
Q

What does ‘Ordinal Data’ refer to?

A

Categorical data with a meaningful order (e.g., survey ratings).

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30
Q

What is ‘Cross-Sectional Data’?

A

List of the observations of a specific variable from multiple observational units at a given point in time ie companies, groups, trading markers, regions. Like January inflation rates in the EU for a given year

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31
Q

Define ‘Time Series Data’.

A

Data collected over time at regular intervals.

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32
Q

What is ‘Structured Data’?

A

Data organized in a defined format (e.g., databases).

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33
Q

Define ‘Unstructured Data’.

A

Data without a predefined structure (e.g., social media posts).

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34
Q

What are ‘Frequency Distributions’?

A

Tables or charts showing data occurrences.

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35
Q

What is a ‘Confusion Matrix’?

A

A table used to evaluate classification models. A confusion matrix is a table that compares predicted values to actual values to evaluate a machine learning model’s performance

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36
Q

What does a ‘Histogram’ display?

A

Frequency distribution of continuous data. Bar chart

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37
Q

What is the purpose of a ‘Bar Chart’?

A

Used for comparing categories. A bar chart distribution is used to visually represent the frequency or count of data points within different categories of a categorical variable

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38
Q

What does a ‘Scatter Plot’ show?

A

Shows relationships between two numerical variables.

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39
Q

What is a ‘Scatter Plot Matrix’?

A

Multiple scatter plots in one visualization. A scatterplot matrix is a grid of scatterplots that shows the relationships between multiple variables.

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40
Q

What are ‘Tree Maps’ used for?

A

Hierarchical data visualization using nested rectangles. Like the stock squares where there’s sizes

41
Q

Define ‘Heat Maps’.

A

Color-coded data representations.

42
Q

What is a ‘Word Cloud’?

A

Shows word frequency in text data.

43
Q

What do ‘Line Charts’ track?

A

Data trends over time.

44
Q

What is a ‘Bubble Line Chart’?

A

A bubble chart is a variation of a scatter chart in which the data points are replaced with bubbles, and an additional dimension of the data is represented in the size of the bubbles. Just like a scatter chart, a bubble chart does not use a category axis — both horizontal and vertical axes are value axes. In addition to the x values and y values that are plotted in a scatter chart, a bubble chart plots x values, y values, and z (size) values.

45
Q

What is the purpose of Descriptive Statistics?

A

Summarizes and describes data characteristics.

46
Q

Define ‘Population’ in statistics.

A

The entire group of interest.

47
Q

What are ‘Samples’?

A

A subset of the population used for analysis.

48
Q

What is the ‘Arithmetic Mean’?

A

The average of a data set.

49
Q

Define ‘Geometric Mean’.

A

The nth root of the product of n numbers.

50
Q

What is a ‘Weighted Mean’?

A

A mean where values are given different importance.

51
Q

Define ‘Harmonic Mean’.

A

The reciprocal of the average of reciprocals.

52
Q

What is the ‘Median’?

A

The middle value when data is sorted.

53
Q

What does ‘Mode’ refer to?

A

The most frequently occurring value.

54
Q

What is ‘Unimodal’?

55
Q

What is ‘Bimodal’?

A

Two modes.

56
Q

Define ‘Trimodal’.

A

Three modes.

57
Q

What are ‘Quartiles’?

A

Data divided into four equal parts.

58
Q

What are ‘Quintiles’?

A

Data divided into five equal parts.

59
Q

What are ‘Deciles’?

A

Data divided into ten equal parts.

60
Q

What are ‘Percentiles’?

A

Data divided into 100 equal parts.

61
Q

What is ‘Range’ in statistics?

A

Difference between the highest and lowest value.

62
Q

Define ‘Mean Absolute Deviation’.

A

Average distance from the mean.

63
Q

What is ‘Variance’?

A

Average squared deviation from the mean.

64
Q

What does ‘Standard Deviation’ measure?

A

Spread of data.

65
Q

What is the ‘Coefficient of Variation’?

A

(Standard Deviation / Mean) × 100%.

66
Q

What does ‘Skewness’ measure?

A

Data symmetry.

67
Q

What does ‘Kurtosis’ measure?

A

The ‘tailedness’ of a distribution.

68
Q

Define ‘Leptokurtic’.

A

Tall, narrow peak.

69
Q

What does ‘Platykurtic’ refer to?

A

Flat peak.

70
Q

What is ‘Mesokurtic’?

A

Normal distribution shape.

71
Q

What does ‘Correlation’ measure?

A

Strength of linear relationships.

72
Q

What is ‘Covariance’?

A

Measures how two variables change together.

73
Q

Define ‘Exhaustive Events’.

A

Events covering all possibilities.

74
Q

What are ‘Mutually Exclusive Events’?

A

Events that cannot happen simultaneously.

75
Q

What is ‘Empirical Probability’?

A

Based on observed data.

76
Q

Define ‘A Priori Probability’.

A

Based on logical reasoning.

77
Q

What is ‘Subjective Probability’?

A

An expert in a field makes a postulation based on his experience

78
Q

What does ‘Conditional Probability’ refer to?

A

Probability of A given B has occurred. It is based on calculations rather than assumptions

79
Q

What is ‘Unconditional Probability’?

A

Probability of an event independent of others.

80
Q

Define ‘Expected Value’.

A

Weighted average of all possible outcomes.

81
Q

What are ‘Permutations’?

A

Ordered arrangements of items.

82
Q

Define ‘Combinations’.

A

Unordered selections of items.

83
Q

What is a ‘Random Variable’?

A

Variable representing outcomes of a random process.

84
Q

What is a ‘Discrete Variable’?

A

Takes specific values (e.g., 1, 2, 3).

85
Q

Define ‘Continuous Random Variable’.

A

Takes any value in a range.

86
Q

What does a ‘Probability Function’ do?

A

Assigns probability to each outcome.

87
Q

What is a ‘Probability Density Function (PDF)’?

A

Describes likelihood of continuous variables.

88
Q

What is a ‘Cumulative Distribution Function (CDF)’?

A

Gives probability of a variable ≤ a value.

89
Q

Define ‘Discrete Uniform Distribution’.

A

All outcomes equally likely.

90
Q

What does the ‘Binomial Distribution’ represent?

A

Number of successes in fixed trials.

91
Q

What are the formulas for Binomial Distribution?

A
  • Mean = np
  • Variance = np(1-p)
  • Standard Deviation = sqrt(np(1-p))
92
Q

What is a ‘Normal Distribution’?

A

Bell-shaped curve.

93
Q

Define ‘Log-Normal Distribution’.

A

Log-transformed normal data. Models stock returns. Always positive. Long right tail. Not symmetrical but has skew

94
Q

What does the ‘Exponential Distribution’ model?

A

Models time between events.

95
Q

What is the definition of a model according to the Federal Reserve and OCC?

A

A quantitative method used for decision-making.

96
Q

What are the stages of the Model Lifecycle?

A
  • Development
  • Validation
  • Implementation
  • Monitoring
97
Q

What is the trade-off between granularity and flexibility in modeling?

A

Trade-off between model detail and adaptability.

98
Q

List some Best Practices (BPs) in modeling.

A
  • Clear assumptions
  • Consistent formatting
  • Error handling
  • Version control
99
Q

What are use cases for VBA in financial modeling?

A

Automating financial models, data processing, and analysis in Excel.