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Title: Quantitative Techniques and Financial Mathematics CAIIB-Financial Management


1
Quantitative Techniques andFinancial
MathematicsCAIIB-Financial Management Module A
  • C.S.BALAKRISHNAN
  • Faculty Member
  • S.P.B.T.COLLEGE

2
Concept Of Time Value Of Money,Net Present
Value,Discounted Cash Flow
3
  • Present value is a concept which shows that money
    has time value.
  • Dealing with cash flows at different points of
    time can be made easier using a time line that
    shows both the value and timing of cash flows.
  • Cash inflows are called positive cash flows and
    cash outflows are called negative negative cash
    flows.
  • Discount rate is a rate at which present and
    future cash flows are traded off.

4
  • The process of discounting future cash flows
    converts them into cash flows in present value
    terms.
  • The process of compounding converts present cash
    flows into future cash flows.
  • The present value of Rs.1,00,000 a year from now
    must be less thanRs.1,00,000 today.
  • Present value(pv)Discount factor x C1
  • c1cash flow at time t.
  • PV CFt/(1r)
  • Discount factor1/(1r)

5
  • Suppose you have two options of investment
  • Option a-Investing in a property worth Rs.4lac
    today and your investment is expected to go upto
    Rs.5lac.
  • Option b-Invest in PPF to receive Rs.5 lac
    after a year say _at_9.One has to invest
    Rs.5lac/1.09 which is Rs.4,58,715.59.
  • Thus one can infer that option a is better
    than option b in the above case.

6
  • To calculate the present value,we discount the
    expected payoff by the rate of return offered by
    equivalent investment alternatives in the capital
    or financial markets.This rate of return is often
    called as discount rate,hurdle rate or
    oppurtunity cost of capital.
  • It is referred to as oppurtunity cost since it is
    the return forgone by investing in the project
    rather than investing in the securities.In our
    example the oppurtunity cost was 9.Present value
    was obtained by dividing Rs.5lac by 1.09.

7
  • PVDiscount Factor x C11/(1r) x C1
  • 5LAC/1.09Rs.4,58,715.59
  • Net Present ValuePV-Required Investment
  • NPVRs.4,58,715.59-Rs.4,00,00Rs.58,715.59
  • NPVC0C1/(1r).Where C0 is cash flow today
    which will be negative.
  • Relation of risk to present value-We do not use
    the same discount factor while comparing
    alternative investment avenues.
  • The discount rate for PPF may be 9,or 0.09 but
    discount rate for the building property may be
    11 or0.11.Only after present values are
    calculated using two different discount rates is
    the best investment avenue or project decided.

8
  • ReturnProfit/Investment
  • (Rs.5 lac-Rs.4.30lac)/Rs.4.30 lac.
  • Rs.70,000/Rs.4.30lac
  • 0.163 about 16
  • This cost of capital is once again the return
    foregone by not investing in securities.If the
    office building is as risky as investing in stock
    market securities where the expected return is
    14 then the return forgone is 14.Since the 16
    return on the office building exceeds the 14
    oppurtunity cost,one should go ahead with the
    project.

9
  • Net Present Value Rule-Accept investments that
    have positive net present values.
  • Rate of Return Rule-Accept investments that offer
    rates of return in excess of their oppurtunity
    cost of capital.
  • Discounting a cash flow converts it into
    present value rupees and enables the user to
    aggregate and compare.other things remaining
    equal,the present value of a cash flow will
    decrease as the discount rate increases and
    continues to decrease further into future cash
    flows.

10
  • Rule of 72-It is a shortcut to estimating the
    compounding effect.A cash flow growing at 6 will
    double in value in approximately 12 years,while a
    cash flow at 9 will double in value in
    approximately 8 years.
  • Effective Interest Rate
  • (1Stated Annual Interest Rate) -1
  • N
  • Where Nno.ofcompounding periods
  • eg10annual int.rate,if there is semi annual
    compounding works out to an effective rate of
  • (1.052-1)(1.1.025-1.0)10.25

11
  • Effect of compounding frequency on effective
    interest rate
  • Frequency Rate() T Formula Effective

  • Annual Rate

  • ()
  • Annual 10 1 10 10
  • Semi-annual10 2 (110/2)2-110.25
  • Monthly 10 12(110/12)12-110.47
  • Daily 10 365(110/365)36510.5156
  • Continous 10 continous e10-1 10.5171

12
  • As compounding becomes more frequent,the
    effective rate increases,and the present value of
    future cash flows decreases.
  • Under rule 72,how long will it take for an
    investment to quadruple in value,if the interest
    rate is 12?
  • a)10 years b)15 years c)12 years d)17 years
  • In order to avoid taxes,my grandfather,starts
    giving me gifts of Rs1lac for the next 10
    years.If the interest rate is 6,how much will I
    get at the end of 10 years?
  • a)10 lac b)15 lac c)12 lac d)18 lac

13
  • A quarterly repayments of a loan carry an
    interest rate of 8 per annum.What is the
    effective annual rate of interest?
  • a)7.24 b)6.25 c)8.24 d)9.24
  • Find the interest rate?Present value is
    Rs100.Future value becomes Rs.115.76 in 3 years.
  • a)7 b)6 c)8 d)9
  • If I take a loan of Rs8,000 and repay Rs225 per
    month,for 4 years,what is the effective annual
    rate on the loan?
  • a)15.25 b)15.35 c)15.58 d)15.45

14
  • Sampling Methods-Presentation of data
  • analysis and interpretation of data-
  • Hypothesis testing

15
  • Sampling is the integral tool of the quantitative
    methods we use.
  • To take a sample from an entire population and
    use it to describe a population.
  • To make sure the samples you take are an accurate
    representation of the population they come from.
  • To introduce the concepts of sampling
    distribution.
  • To understand the trade offs between costs of
    larger samples and accuracy.
  • To introduce experimental design-Sampling
    procedures-more information at least cost.

16
  • Estimation-Data analysis and interpretation.
  • Testing of hypotheses- sample data.
  • Four methods of sampling
  • -Simple Random Sampling
  • -Systematic Sampling
  • -Stratified Sampling
  • -Cluster Sampling
  • Central Limit Theorem
  • The relationship between the shape of the
  • population distribution and the shape of the
  • sampling distribution of the mean is called The
  • Central Limit Theorem.

17
  • The central limit theorem is perhaps the most
    important theorem in all of statistical
    inference.It assures that the sampling
    distribution of mean approaches normal as the
    sample size increases.
  • Which of the following is a method of selecting
    samples from a population?
  • a)Judgement sampling b)Random sampling
    c)Probability sampling d)All of the above

18
  • In random sampling,we can describe mathematically
    how objective our estimates are.Why is this?
  • a)We always know the chance that any
  • population element will be included in the
  • sample.
  • b)Every sample always has an equal chance
  • of being selected.
  • c)All the samples are exactly the same size
  • and can be counted.
  • d)a and b but not c

19
  • Suppose you are performing stratified sampling on
    a particular population and have divided it into
    strata of different sizes.How can you now make
    your sample selection?
  • a)Select at random an equal number of
  • elements.
  • b)Draw equal numbers of elements from each
  • stratum and weigh the results.
  • c)Draw numbers of elements from each
  • stratum proportional to their weights in
    the
  • population.
  • d)(b) (c) only.

20
  • The dispersionamong sample means is less than the
    dispersion among the sampled items themselves
    because
  • a)Each sample is smaller than the
  • population from which it is drawn.
  • b)Very large values are averaged down
  • and very small values are averaged up.
  • c) The sampled items are all drawn from
  • the same population.
  • d)None of these.

21
  • Suppose that a population with N144 has
    µ24.What is the mean of the sampling
    distribution of the mean for samples of size 25?
  • a)24 b)2 c)4.8 d)Cannot be
    determined from the available information.
  • The central limit theorem assures us that the
    sampling distribution of the mean is
  • a)Always normal b)Always normal for
  • large sample size c)Approaches normality as
    sample size increases d) Appears normal only when
    N is greater than 1,000

22
  • A broader patrol checkpoint that
  • stops every passenger van is using
  • a)Simple Random Sampling
  • b)Systematic sampling
  • c)Stratified sampling
  • d)Complete enumeration
  • A portion of the elements in a population
  • chosen for direct examination or measurement
  • is a --------.(sample)

23
  • The proportion of population contained in a
    sample is the ---------(sampling fraction)
  • ------- sample should be used when each group
    considered has small variation within itself but
    there is wide variation between different
    groups.(stratified).
  • --------is the degree of accuracy with which the
    sample mean can estimate the population.(precision
    )
  • Within a population,groups that are similar to
    each other are called as--------(clusters)

24
  • Determine the sample size if standard deviation
    is 6,population mean is 25 and sample mean is
    23.The desired degree of precision is 99.
  • a)60 b) 75 c) 90 d) 45
  • A sample size of 90 values has a mean 55 and
    standard deviation 3.A second sample of 110
    values has mean 60 and standard deviation 2.Find
    the mean and standard deviation of the combined
    sample of 200 values.
  • a)54.52.812 b)624.345 c)57.753.526
  • d)61.903.89

25
  • REGRESSION CORRELATION-TIME SERIES

26
  • Regression is the measure of the average
    relationship between two or more
    variables.Regression analysis refers to the
    methods by which estimates are made of the values
    of a variable from a knowledge of the values of
    one or more variables.The study of the functional
    relationship between variables provides a
    mechanism for prediction,estimating.

27
  • Variable which is used to predict the variable of
    interest is called independent variableand the
    variable we are trying to predict is called
    dependent variable.Generally,independent
    variable is denoted by x and the dependent
    variable is denoted by y.
  • Simple linear regression analysis -Only one
    independent variable is used.We assume linear
    relationship between variables,this is a linear
    analysis.Linear means that the equation is in a
    straight line form,like Yaxb
































































































































































































































































































































































28
  • Uses of regression analysis-
  • -To estimate the relationship between
  • economic variable like price,demand, etc.
  • -Estimating errors in prediction of the
  • dependent variable.
  • -We can calculate the coefficient of
    coorelation.
  • Coefficient of determination is the square of
    coefficient of correlation.This measures the
    degree of correlation exists between two
    variables.

29
  • Assume the principal of a college wants to find
    out whether there is a relationship between the
    entrance examination score to a college and final
    graduation GPA score of a student.
  • Student A B C D E F G H
  • Entrance
  • Exam 74 69 85 63 82 60 79 91
  • Cumulative
  • GPA 2.6 2.2 3.4 2.3 3.1 2.1 3.2 3.8

30
  • When we view these points together,we see that we
    can fit a line through these scattered
    points.We try to draw the line in such a way,that
    an equal number of points lie on either side of
    line.As X increases (independent
    variable-entrance score),Y also
    increases(dependent variable-cumulative GPA
    score).We can say that there is a direct linear
    relationship.

31
  • Curvilinear Relationship
  • In many industries we have heard of
    curvilinear relationship.The principle is that as
    the employees produce more and more of a new
    product ,the time required to produce one unit
    decreases by some fixed proportion as the total
    number of unit doubles.
  • No.of planes produced 5 10 20 40
  • No.of hours per plane 1000 800 640 512

32
  • TIME SERIES

33
  • The first step in making the estimates for future
    consists of gathering information from the
    past.Data is collected,and recorded at successive
    intervals of time.Such data are called time
    series.
  • Time series helps in understanding past
    behaviour.It also helps in planning future
    operations as well as current operations.The
    actuals can be compared with expected results and
    cause of variation can be analysed.

34
  • It is customary to classify the fluctuations of a
    time series into four basic types of variations.
  • a)Secular trend b)Seasonal variation
  • c)Cyclical variation d)Irregular variation.
  • Methods of trend analysis
  • -Free hand graphic method.
  • -Semi-average method.
  • -Moving average method.
  • -Method of least squares.

35
  • Light bulbs are manufactured in a factory and
    have a mean life of 540 hours and std.deviation
    of 50 hours.Calculate the fraction of bulbs that
    have less than 500 hours.
  • a)0.54 b)0.2119 c)0.4234 d)0.3555
  • The fraction of bulbs having life between
  • 500 to 600 hours.
  • a)0.6730 b)0.5478 c)0.7734 d)0.3487

36
  • The mean and standard deviation of marks of
    students of a class are 55 and 8
    respectively.Within what interval centred around
    the mean do at least 90 of marks lie?
  • a)40 and 65 b)39 and 61 c)42 and 68
  • d)30 and 72
  • A binomial distribution has n20 and p0.3.Find
    the mean and the variance of the distribution.
  • a)8 and 3.4 b)4 and 2.6 c)6 and 4.2 d)12
    and 4.4

37
  • Customer accounts at a certain cooperative bank
    have an average balance of Rs 4,800 and a
    Standard Deviation of Rs.1,600.Assume the account
    balances are normally distributed.Calculate
  • a)What proportion of the accounts is over
  • Rs.6,000?
  • a)32 b)20 c)15.44 d)22.67
  • b)What proportion of the accounts are
  • between Rs4,000 and Rs.6,000?
  • a)46.49 b)52.34 c)62.33 d)34.65

38
  • C)What proportion of the accounts is between
    Rs.2,400 and Rs.3,600 ?
  • a)32.45 b)15.98 c)22.50 d)10.44.
  • State whether true or false
  • Secular trend refers to long term of data.
  • Regular variations include only seasonal
  • variations.
  • Yearly data are independent of the effect
  • of seasonal variations.
  • The period of seasonal variations is always
  • one year.

39
  • Series of figures arranged in a chronological
  • Order are called
  • a) Time series b)Trend c)Linear d)Best
  • Which is an irreversible movement and continues
    in the same direction for considerable period of
    time
  • a) Trend b)Time series c)Best d)Linear.
  • The trend equation fitted by the method of least
    squares is known as the equation
    of-----fit.a)Linear b)Best c)Trend d)Time series

40
  • In the case of a -------trend,successive
    observations differ by a constant number.
  • a)Time series b)Trend c)Best d)Linear
  • If in a year 20,000 boats are rented
    out,average per quarter should be Rs.5,000.If the
    index for spring quarter is 142,then we estimate
    the number of boats rented out during the summer
    will be 5,000X(142/100)
  • 7,100.

41
  • Probability distribution-confidence interval
    analysis-Estimating parameters of distribution

42
  • A point estimate is a single number that is used
    to estimate an unknown population
  • An interval estimate is a range of values used to
    estimate a population parameter.
  • Any sample statistic that is used to estimate a
    population parameter is called an estimator which
    is a sample statistic used to estimate a
    population parameter.
  • An interval estimate describes a range of values
    within which a population parameter is likely to
    lie.

43
  • Bond Valuation

44
  • Bond prices vary inversely to change in interest
    rates.
  • When the interest rate increases,and goes higher
    than the coupon rate,then the bond value
    decreases.This is because the present value of
    payments received decrease,leading to a fall in
    bond prices.
  • When the interest rate decreases,and becomes
    lower than the coupon rate,then the present value
    of payments increases and the bonds market price
    increases.

45
  • When the interest rate is equal to the coupon
    rate,the market price of the bond is equal to
    face value.In this case,the bond is selling at
    par.
  • When the market price of bond is greater than its
    face value,it is said that the bond is selling at
    a premium.
  • RBI issues a bond with a par value of
    Rs.1000,coupon rate 10 and the maturity period
    is 10years.What will happen when interest rate
    increases?
  • The price of the bond will fall.Coupon rate

46
  • Will not change .Yield to maturity
  • increases.The interest payment received
  • each year is only Rs.100 (no change).
  • What is interest rate risk?
  • A fall in interest rates will result in increase
    in
  • bond prices.A rise in interest rates will result
    in
  • decrease in bond prices.

47
  • A Rs.100 par value bond,bearing a coupon rate of
    12 will mature in 8 years.the required rate of
    return on this bond is 14.What is the value of
    this bond?
  • a)92.87 b)90.77 c)102.76 d)78.89
  • A Rs.1000 par value bond has a coupon rate of 14
    will mature after 5 years.The required rate of
    return on this bond is 13.What is the value of
    this bond?
  • a)1035.4 b)1200.5 c)945.88 d)1060

48
  • LINEAR PROGRAMMING
  • DECISION MAKING

49
  • Linear programming is concerned with efficient
    allocation of limited sources to known
    activities,with the objective of meeting desired
    goals such as maximizing profits or minimizing
    cost.
  • Objective function is one in which we mention the
    objective quantitatively and express it as a
    linear function of the variables.It can be for
    maximizing profits or minimizing costs.
  • Optimal solution satisfies all the given
  • constraints.

50
  • Sensitivity analysis-It refers to the study of
    effect of changes in various parameters
  • (constraints)on the optimal solution.
  • State whether following statements are true or
    false
  • a)The distinctive characteristic of linear
  • programming models is that the functions
  • representing the objective and the
  • constraints are linear.

51
  • Non negativity constraints means the products are
    not produced.
  • Inequality means that the capacity of each
    operation should not be exceeded.
  • For finding out the optimal mix and the
    corresponding profit,linear programming method is
    not useful.

52
  • SIMULATION

53
  • Simulation is an imitation of reality.A number of
    experiments is performed on simulated models to
    determine the behaviour of the real
    system.Example
  • Testing of aircraft models in wind tunnel,
  • Planetarium shows represent a simulation
  • of the planet system.
  • Advantages of simulation
  • -We can foresee difficulties and bottlenecks
  • which may come up in real system.
  • -This eliminates costly and risky trials

54
  • This allows experimenting with a model of the
    system without interfering with real system.
  • Simulation models are comparatively flexible and
    can be modified to accommodate the changing
    environment.
  • Monte Carlo method is a technique that involves
    using random numbers and probability to solve
    problems.The term Monte Carlo Method was coined
    by S.Ulam and Nicholas Metropolis in reference to
    games of chance,a popular attraction in Monte
    Carlo,Monaco.

55
  • State true or false
  • -Simulation is a replica of real life.
  • -Random numbers are not necessary for
  • inputs in a simulation model.
  • -Simulation is used when the problem is not
  • complex,and there is a linear relationship
  • between the variables.
  • -Simulation involves many iterations,and
  • computers are useful in solving them.

56
  • objective questions

57

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