topic 2 Flashcards

(44 cards)

1
Q

why are returns used in financial studies

A

1 - reuturns of assets are complete and scale-free
2- return series are easier because they are stationary, easier to compare and naturally bounded (cant loose more than 100%)

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2
Q

describe the ruturns formula

A

current price minus price at previous time divided by previous price (change in price divided by pervious/ original
price)

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3
Q

what is central tendecy
what

A

finidng the “center of the data”

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4
Q

what do you use to find central tendency

A

arithmatic mean, mode and median

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5
Q

how do calcultae the arithmatic mean

when is the mean not useful in a data set

A

add up numbers and divide by how many numbers (values) there are

where there are outliers

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6
Q

how do you calculate the median

what is it useful for?

A

its the middle value when data is arranged in order. if number are even it the middle value of the central two.

useful when outliers are present as its more robust

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7
Q

how do you calcuate the mode

what is it useful for

A

The most frequently occurring value in the dataset.

useful for catagorical data to identify mosy frequent value

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8
Q

what is variation (dispersal)?

A

it tells us how spead out the data is

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9
Q

what do you use to find variation?

A

range, interquartile range, varience, standard deviation and coeffieicent variation

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10
Q

how do you calculate range

A

max value minus min value

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11
Q

how do you calculate interquartile range

A

third quartile value minus first quartile value (Q1 - Q3)

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12
Q

how do you calculate population and sample varience

A

big formula with the weird E in it
- find the mean of the data set,
- take each value and minus the mean from each value,
- square each individual value,
- find the mean of those numbers to find population variation.

  • for sample you need to minus one from the bottom number in the second mean calculation
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13
Q

how do you calculate standard deviation

A

take the square root of the varience equation result

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14
Q

how do you calculate coefficient variation (population + sample)

A

divide the standard deviation by the mean x 100

same goes for sample

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15
Q

why is coeffiecient vairation used

A

its a relative measure of variability. Can compare to other data sets reguradless of their size

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16
Q

what are percentiles and quartiles

A

percentiles and quartiles indiciate the position of a value relative to the whole data set
e.g - being in the 90th percentile of IQ

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17
Q

what are quartiles

A

quartiles split percentiled data into four equal segments of data, however the width of the quartiles may vary

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18
Q

whats the fomula for finding quartiles

A

where n is number of values
for quartile 1 (Q1) its

  • 0.25 x n+1 also shown as 0.25(n+1)
    for Q2+3 its 0.5 and 0.75
19
Q

why is interquartile range used?
what does it represent?

A

its eliminates outliers by ignoring the high and low values. represents the middle 50% of data

20
Q

what is the five number summary

A

minimun, first quartile, median, third quartile, maximum

21
Q

what is a box and whisker plot

A
  • describes/ visualises distribution/ quaetiles
22
Q

what do the different parts of a box and whiskser plot mean

A
  • inner box shows range of Q1 to Q3
  • two whiskers show the distance from the minimum to Q1 and the maximum from Q3
  • median is the lin in the middle
23
Q

what is mean absolute deviation

A

same calculation as varience except you dont square the deveiations you take the absolute value and dont allow for negative values

24
Q

why does mean absolute deviation (MAD) only use positive numbers?

A

MAD finds the deviation(distance of the values frrom the mean) and treats this as a distance which cant be negative

25
what is coeffiecient of variation(CV)
- shows how much variability exists in the data relative the the average - expressed as a percenatage of the mean
26
how do you calculate coeffiecient of variation (CV)
population standard deviation divded by population mean times by 100. same goes for sample standard devaiton and sample mean
27
whats the purpose of coefficient of variation (CV)
- comparing variation of two differnet data sets reguardless of the difference - provides relative meausre of data dispersion around the mean
28
what can you interpret from high/low coefficient of variation
- low CV means data points are closer to the mean/ less variability - high CV means datas more spread out from the mean/ more variabilty
29
what is skewness?
skewness is a measure of asymetry within probability distrubutuion - looks to see if the data is balanced around the mean or has a longer 'tail' on one side
30
what does skewness look at what does it do to outliers
looks at how far and how often values devaite from the mean gives extra weight to outliers
31
whats positive, negative and zero skewness
postive - more (or more extreme) outliers in the right tail negative - more (or more extreme) outliers in the left tail zero - perfectly balanced distribution
32
what two different types of skewness are there what are there excel terms
population (skew.p) and sample (skew)
33
what is kurtosis
kurtosis measures how data is ocncentrated in the tails (extreme values) vs the center of distribution
34
What is kurtosis-3
excess kurtosis
35
how are excess kurtosis results grouped
excess kurtosis positive kurtosis negative kurtosis
36
whats excess kurtosis what does it equal to?
equals 0 an expected number of extreme values
37
whats postive excess kurtosis
high kurtosis distributions show sharp peak and fat tails more extreme values
38
whats negative excess kurtosis
low kurtosis flat peak and thinner tails fewer extreme values than normal
39
excel function for kurtosis what do you do to get the raw/ full kurtosis in excel
KURT add three ot the result of the kurt function
40
whats the difference between standard devaition, skewness and kurtosis
when taking the mean away from the inital values, for SD you square, Skewness you do to the third power and kurtosis you do to the fourth power
41
what is covarience?
a measure of the direction of a linear relationship between two vairalbles
42
what is correlation
a measure of direction and strentgh of a linear relationship between two vairables
43
what does covarience and correlation measure?
looks at how cloesly two variables are connected in reguards to how one changes if the other variable changes
44
what are the feautures of correlation / what do the results of correlation tell you
- ranges between -1 and 1 - closer towards -1 means stronger negative linear correlation - closer towards 1 means stronger positive linear relationship - closer to 0 its a weak linear relationship