Chapter 2
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Questions and Answers

What does the slope (b) in the linear equation $y = a + bx$ represent?

  • The maximum value of y
  • The rate of change of y with respect to x (correct)
  • The initial value of y when x is zero
  • The value of x at which y is at its minimum
  • In the equation $y = 25 + 0.05x$, what does the value 25 represent?

  • The maximum possible grade
  • The number of hours studied
  • The expected mark with no study hours (correct)
  • The slope of the linear relationship
  • Which of the following statements about a straight line in a linear function is correct?

  • The slope remains constant throughout the line. (correct)
  • The intercept can be negative but the slope cannot.
  • The slope is always positive in linear relationships.
  • The slope changes at different points along the line.
  • If a student studies for 100 hours, what would their expected increase in marks be in the context of the equation $y = 25 + 0.05x$?

    <p>5%</p> Signup and view all the answers

    What does a negative slope in a linear function indicate about the relationship between x and y?

    <p>As x increases, y decreases.</p> Signup and view all the answers

    What is the derivative of the function y = 4x^3?

    <p>12x^2</p> Signup and view all the answers

    What is the second derivative of the function y = 4x^5 + 3x^3 + 2x + 6?

    <p>60x^4 + 18x</p> Signup and view all the answers

    What does a negative second derivative indicate at a turning point?

    <p>It's a maximum point.</p> Signup and view all the answers

    What is the derivative of the function y = e^(3x^2)?

    <p>6xe^(3x^2)</p> Signup and view all the answers

    If y = log(x^3 + 2x - 1), what is the derivative dy/dx?

    <p>(3x^2 + 2)/(x^3 + 2x - 1)</p> Signup and view all the answers

    What is the general rule for the derivative of a sum of two functions?

    <p>The derivative is equal to the sum of their derivatives.</p> Signup and view all the answers

    What is the derivative of log(f(x)) in terms of its function f?

    <p>f'(x)/f(x)</p> Signup and view all the answers

    What is the first derivative of the function y = 3/x?

    <p>-3/x^2</p> Signup and view all the answers

    What does the trace of a square matrix represent?

    <p>The sum of the terms on its leading diagonal</p> Signup and view all the answers

    What is one of the properties of the trace of a matrix?

    <p>Tr(A') = Tr(A)</p> Signup and view all the answers

    What is the condition for the matrix (Π − λIp) to have a non-zero solution?

    <p>The matrix must be singular</p> Signup and view all the answers

    Given a 2 × 2 matrix Π, what characteristic roots are identified in the example?

    <p>λ = 6 and λ = 3</p> Signup and view all the answers

    What mathematical operation provides the expected return on a portfolio?

    <p>E(r)'w</p> Signup and view all the answers

    In the equation Πc = λc, what does λ represent?

    <p>An eigenvalue or characteristic root</p> Signup and view all the answers

    What does the matrix I_p represent in the context of eigenvalues?

    <p>An identity matrix of size p × p</p> Signup and view all the answers

    Which of the following statements about eigenvectors is true?

    <p>They are solutions to the equation Πc = λc.</p> Signup and view all the answers

    What does the derivative measure in the context of two variables?

    <p>The instantaneous rate of change of one variable with respect to another.</p> Signup and view all the answers

    What is the derivative of a constant function such as y = 10?

    <p>0</p> Signup and view all the answers

    If y = 3x + 2, what does dy/dx equal?

    <p>3</p> Signup and view all the answers

    What occurs at a turning point on a curve?

    <p>The gradient is zero.</p> Signup and view all the answers

    Which statement about non-linear functions is true?

    <p>The gradient will vary at different points along the curve.</p> Signup and view all the answers

    If y = x^2, what is the derivative dy/dx?

    <p>2x</p> Signup and view all the answers

    What does dy/dx represent?

    <p>The change in y for a unit change in x.</p> Signup and view all the answers

    How is the gradient of a curve represented?

    <p>By the slope of the tangent at a specific point.</p> Signup and view all the answers

    What condition indicates that a quadratic function will have two distinct real roots?

    <p>b² &gt; 4ac</p> Signup and view all the answers

    What are the roots of the quadratic equation y = x² - 4x?

    <p>2 and 2</p> Signup and view all the answers

    Which scenario indicates that a quadratic function will not intersect the x-axis?

    <p>b² &lt; 4ac</p> Signup and view all the answers

    How can the roots of a quadratic equation be found if it cannot be factored easily?

    <p>By applying the quadratic formula</p> Signup and view all the answers

    In the equation y = 9x² + 6x + 1, what type of roots does it have?

    <p>One repeated real root</p> Signup and view all the answers

    What does the term 'repeated roots' mean in the context of quadratic functions?

    <p>The roots are both the same number</p> Signup and view all the answers

    For which of the following equations will the roots be complex?

    <p>y = x² + 4</p> Signup and view all the answers

    What does the leading diagonal of the variance-covariance matrix represent?

    <p>The variances of the component portfolio returns</p> Signup and view all the answers

    How is the variance-covariance matrix V calculated?

    <p>By subtracting the mean returns and then using R'R/(T-1)</p> Signup and view all the answers

    What is the correct representation of the portfolio variance VP?

    <p>VP = w′Vw</p> Signup and view all the answers

    What can be deduced about the correlation matrix C?

    <p>It is symmetrical about the leading diagonal</p> Signup and view all the answers

    In the formula VP = w′SCSw, what does S represent?

    <p>The diagonal matrix of standard deviations</p> Signup and view all the answers

    What does σ12 represent in the variance-covariance matrix?

    <p>The covariance between stock one and stock two</p> Signup and view all the answers

    Why must the mean returns be subtracted from the actual returns when constructing the variance-covariance matrix?

    <p>To normalize the data for easier comparison</p> Signup and view all the answers

    What dimension does the portfolio variance VP have as a result of the matrix operations?

    <p>It is a scalar value (1 × 1)</p> Signup and view all the answers

    Study Notes

    Mathematical and Statistical Foundations

    • A function is a mapping or relationship between an input or set of inputs and an output
    • Functions can be linear, where the relationship can be expressed on a straight line, or non-linear, where it would be expressed graphically as a curve.
    • A linear function can be expressed as y = a + bx, where y and x are variables and a and b are parameters
    • a is the intercept and b is the slope or gradient
    • The intercept is the point at which the line crosses the y-axis.

    Straight Lines

    • Example: Modeling the relationship between a student's average mark (y, in percent) and the number of hours studied per year (x).
    • Example equation: y = 25 + 0.05x
    • Intercept (a) = 25
    • Slope (b) = 0.05
    • This means that with no study (x = 0), the student could expect to earn a mark of 25%.
    • For every hour of study, the grade would on average improve by 0.05%, and 100 hours of study would lead to a 5% increase in the mark.

    Roots

    • The root of an equation is the point where the line crosses the x-axis.
    • A straight line has one root unless it is horizontal (e.g., y = 4).
    • To find the root, set y = 0 and rearrange the equation.
    • Example: for the equation y = 25 + 0.05x, setting y to zero yields x = -500

    Quadratic Functions

    • A linear function is often not flexible enough to accurately describe the relationship between two series.
    • A quadratic function can be a better fit.
    • The general form of a quadratic function is y = a + bx + cx².
    • a, b, and c are parameters describing the function's shape.
    • A linear function is a special case of a quadratic where c = 0.
    • If c is positive, the function is U-shaped, and if it's negative, it's inverted U-shaped.

    The Roots of Quadratic Functions

    • A quadratic equation has two roots.
    • Roots can be distinct, repeated, real, or complex.
    • Roots can be found by factoring the equation, completing the square, or using the quadratic formula.

    The Roots of Quadratic Functions (Cont'd)

    • If b² > 4ac, the function has two unique roots and crosses the x-axis in two separate places.
    • If b² = 4ac, the function has two equal roots and crosses the x-axis in one place.
    • If b² < 4ac, the function has no real roots and does not cross the x-axis.

    Calculating the roots of quadratics - examples

    • Examples of quadratic equations are provided to determine their roots.

    Calculating the roots of quadratics - solutions

    • The equations are solved by setting them to zero and then finding possible factors
    • Quadratic equations always have two roots.
    • The examples demonstrate the use of factoring and sometimes the quadratic equation is required to find the roots.

    Powers of Number or of Variables

    • Raising a number or variable to a power is a way of writing repeated multiplication.
    • x² = x × x, x³ = x × x × x
    • The number being raised to a power is called the index.

    Manipulating Powers and their Indices

    • Any number or variable raised to the power one is simply that number or variable.
    • Raising to the power zero yields one, except zero to the power zero, which is undefined.
    • A negative index means reciprocal, e.g., xˉ³ = 1/x³.
    • Multiplying terms with the same base involves adding indices, e.g., x² x x³ = x⁵.
    • Raising a power to another power involves multiplying the indices e.g., (x²)³ = x⁶.
    • Dividing terms with the same base involves subtracting indices, e.g., x⁵ / x² = x³.
    • Non-integer powers are also possible, but harder to calculate by hand (e.g. √x, x⁰.⁷⁶).

    The Exponential Function, e

    • Exponential functions describe relationships where a variable grows or declines proportionally to its current value.
    • The equation is expressed as y = eˣ
    • e is a mathematical constant approximately equal to 2.71828.
    • Exponential functions are useful in finance for representing compound interest.
    • The exponential function is always positive and approaches zero as x becomes very negative.

    Logarithms

    • Logarithms simplify complex calculations, converting multiplication and division to addition and subtraction.
    • Logarithms can help rescale data, making variance more consistent (addressing heteroscedasticity).
    • Logarithms can transform a skewed distribution to a more normal distribution.
    • Logarithms transform a non-linear multiplicative relationship into a linear additive relationship.

    How do Logs Work?

    • Logarithms are the power to which a base (e.g., 2) must be raised to equal a given number (e.g., log₂8 = 3).
    • log functions usually intersect the x-axis at one
    • as x increases y increases at a slower rate, which is opposite to exponential functions.

    A Graph of a Log Function

    • A graph showing a typical log function.

    How do Logs Work?(Cont'd)

    • Natural logarithms are logs to the base e (often denoted as ln(x) or logₑ(x)).
    • Taking a natural logarithm is the inverse operation of exponentiation (so the exponential function is sometimes called the antilog).
    • The log of a number less than one will be negative.
    • You cannot take the log of a negative number.

    The Laws of Logs

    • Rules for manipulating logarithms. ln(xy) = ln(x) + ln(y), ln(x/y) = ln(x) - ln(y), ln(y^c) = c ln(y)., ln(1)=0

    Sigma Notation

    • Sigma notation is used to denote sums of numbers or observations.
    • Σ is used to denote a sum, and implies summing over a set of values. Σᵢ=₁ ⁴ xᵢ means to add up the values of xᵢ from i=1 to i=4.

    Properties of the Sigma Operator

    • Rules for manipulating sigma notation (summation)

    Pi Notation

    • Similar to summation, pi (Π) notation implies multiplying over a set of values. Пᵢ=₁⁴ xᵢ means to multiply the values of xᵢ from i=1 to i=4

    Differential Calculus

    • The rate of change of one variable with respect to another is measured by a derivative.
    • If a relationship between the two variables can be represented by a curve, the gradient of the curve is the rate of change.
      • y = f(x)
    • dy/dx is notation for the derivative.

    Differentiation: The Basics

    • The derivative of a constant is zero.
    • The derivative of a linear function is its slope.
    • Non-linear functions have differing gradients at various points along the curve.
    • The tangent line's slope represents the gradient of a curve at a particular point.
    • Turning points are points on a curve where the tangent slope is zero (change in direction).

    The Tangent to a Curve

    • Diagram of a tangent to a curve.

    The Derivative of a Power Function or of a Sum

    • The derivative of a power function y = cxⁿ is dy/dx = cnxⁿ⁻¹.
    • The derivative of a sum is equal to the sum of individual derivatives.
    • The derivative of a difference is equal to the difference of individual derivatives.

    The Derivatives of Logs and Exponentials

    • The derivative of log x is 1/x.
    • The derivative of a log of a function is f'(x) / f(x)
    • The derivative of eˣ is eˣ.
    • The derivative of e^(f(x)) is f'(x). e^(f(x)).

    Higher Order Derivatives

    • Higher-order derivatives represent the rate of change of the previous derivatives.
    • The second-order derivative represents the rate of change of the gradient.
    • Second derivatives are used to determine if a turning point is a maximum or minimum.

    Maxima and Minima of Functions

    • To find maxima and minima of functions, set the first-order derivative to zero and solve for the x-values.
    • Positive or negative second derivatives indicate minima or maxima, respectively.

    Partial Differentiation

    • Partial differentiation calculates the rate of change of a function of multiple variables with respect to one variable, holding the others constant.
    • Notation for partial derivative of 𝑦 with respect to 𝑥₁ is (∂y/∂x₁).

    How to do Partial Differentiation (Cont'd)

    • Partial derivatives are calculated by treating other variables as constants.
    • Ordinary least squares (OLS) estimates use partial differentiation to find parameters that minimize the residual sum of squares.

    Integration

    • Integration is the reverse process of differentiation.
    • It calculates the area under a curve.

    Matrices - Background

    • A scalar is a single number (e.g. 3, -5, 0.5).
    • A vector is a one-dimensional array of numbers.
    • A matrix is a two-dimensional array or collection of numbers.
    • Matrices are useful for organizing and manipulating data in econometrics and finance.

    Working with Matrices

    • Matrix dimensions are quoted as R x C (rows x columns)
    • Elements of a matrix are identified with sub-scripts (e.g. m23).
    • A matrix with one row is a row vector, and one column is a column vector.
    • A matrix with equal rows and columns is a square matrix.
    • A matrix of all zeros is a zero matrix.

    Working with Matrices 2

    • A symmetric matrix is symmetrical about the leading diagonal (mᵢⱼ = mⱼᵢ).
    • A diagonal matrix has non-zero terms only on the main diagonal.
    • The identity matrix is a diagonal matrix with 1s on the main diagonal, and zeros elsewhere.

    Working with Matrices 3

    • The identity matrix is the matrix equivalent of the number 1.
    • Multiplication by the identity matrix leaves a matrix unchanged.
    • Matrices must be conformable to perform operations.

    Matrix Addition or Subtraction

    • Matrices must be of the same order to add or subtract.
    • Addition and subtraction are performed element by element.

    Matrix Multiplication

    • The number of columns in the first matrix must equal the number of rows in the second matrix to multiply them.
    • Matrix multiplication is not commutative (AB ≠ BA).
    • Matrices don't have a standard division operation

    Matrix Multiplication Example

    • Illustrative example of matrix multiplication.

    The Transpose of a Matrix

    • The transpose of a matrix is obtained by switching its rows and columns.
    • If a matrix is R x C, its transpose is C x R.

    The Rank of a Matrix

    • The Rank of a matrix is the maximum number of linearly independent rows (or columns)
    • A matrix that has a rank equal to its dimension is of full rank, otherwise it’s of reduced rank.
    • The rank of a Matrix is equal to the rank of its transpose.

    The Inverse of a Matrix

    • The inverse of a matrix, denoted A⁻¹, satisfies AA⁻¹ = I.
    • The inverse only exists for square and non-singular matrices.
    • Properties of the inverse of a matrix (A⁻¹) are provided.

    Calculating Inverse of a 2×2 Matrix

    • The formula for the inverse of a 2x2 matrix is given.
    • The determinant is part of the formula to find the inverse of a 2x2 matrix.

    The Trace of a Matrix

    • The trace of a square matrix is the sum of the elements on its main diagonal.
    • Properties of the trace of a matrix (Tr(A), Tr(cA), and others) are provided

    The Eigenvalues of a Matrix

    • Eigenvalues of a matrix are a set of values that, when used, can satisfy an equation to isolate the set of scalars (λ).
    • |Π - λIp| = 0, where Ip is an identity matrix, must be zero for the characteristic root (λ) set of values to exist.

    Calculating Eigenvalues: An Example

    • Illustrative example of calculating eigenvalues of a 2x2 matrix.

    Portfolio Theory and Matrix Algebra - Basics

    • Portfolio allocation problems use matrix algebra in Finance, especially when analyzing weights for investment and the expected returns of various options.

    The Variance-Covariance Matrix

    • The variance-covariance matrix includes variances on the main diagonal and covariances elsewhere.
    • σᵢⱼ is used to denote the covariance between returns on stock i and stock j.

    Constructing the Variance-Covariance Matrix

    • Variance-covariance matrices are constructed from observations about returns (after mean subtraction).

    The Variance of Portfolio Returns

    • The variance of a portfolio can be calculated using the variance-covariance matrix and portfolio weights.

    The Correlation between Returns Series

    • Correlation matrices relate all pairs of returns;
    • Correlation matrices are symmetrical around the main diagonal.
    • Portfolio variance can be calculated from a correlation matrix and diagonal matrix of standard deviations of the returns.

    Selecting Weights for the Minimum Variance Portfolio

    • Finding the portfolio weights (min w'Vw) that minimizes the portfolio variance, subject to a restriction of total wealth (w'1N = 1)

    Selecting Optimal Portfolio Weights

    • Finding optimal portfolio weights for the mean-variance efficient frontier involves maximizing the portfolio's expected return subject to a maximum variance constraint.

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