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MF-852 Financial Econometrics

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Presentation on theme: "MF-852 Financial Econometrics"— Presentation transcript:

1 MF-852 Financial Econometrics
Lecture 1 Overview of Matrix Algebra and Excel Roy J. Epstein Fall 2003

2 Contact Info BC

3 Matrices—Some Definitions
A matrix is a rectangular array of real numbers. Denote a matrix with an upper case italic letter, e.g.,

4 Matrices—Some Definitions
A has m rows and n columns. The dimension of A is “m x n” (m by n). A vector is a matrix with a single row or a single column (denoted with a lower case letter without a subscript), e.g,

5 Matrices—Some Definitions
If n = m then A is a square matrix. If A is square and aij = aji then A is symmetric, e.g., is a symmetric matrix.

6 Scalar Multiplication
Let k be a scalar (i.e., a given real number). kA is a new matrix where each element equals kaij.

7 Matrix Addition A + B is a new matrix where each element is the sum of the corresponding elements of A and B.

8 Matrix Addition Addition is only defined if the matrices have the same dimensions. makes no sense.

9 Matrix Subtraction A – B = A + (–1)B. So subtraction also requires the matrices to have the same dimensions.

10 Matrix Transpose The transpose of a matrix is a new matrix where the rows and columns are switched. The transpose of A is denoted A .

11 Matrix Rules for Addition
A + B = B + A (A + B) + C = A + (B + C) (A + B)  = A + B 

12 Summation Operator We often need to add up the elements of a vector or matrix. We use a convenient notation for this. Suppose a = (a1, a2, …, an). Define

13 “Dot” (or “Inner”) Product
The “dot” product “multiplies” two vectors (we ignore other vector multiplication concepts). The dot product of a and b is defined as ab = ∑aibi (a and b must have the same number of elements). Suppose then ab = 1 x x 2 + 2(-3) = 2.

14 Matrix Multiplication
Matrix multiplication AB is defined in terms of dot products. The result is a new matrix C. Each cij is a dot product. The dot product involves the ith row of A and the jth column of B.

15 Matrix Multiplication

16 Matrix Multiplication
# columns in A = # rows in B or matrix multiplication is not defined. Questions: Does AB = BA? Do A and B have to be square in order to multiply them? Is AA square?

17 Matrix Rules for Multiplication
A(BC ) = (AB)C A(B+C) = AB + AC (B+C)A = BA + CA (AB) = B A (ABC) = C BA

18 The Identity Matrix An identity matrix has 1’s on the diagonal and 0 everywhere else. aii = 1, aij=0 i  j is a 3 x 3 identity matrix.

19 The Identity Matrix and Multiplication
For scalars, 1 is the multiplicative identity: 1() = ()1 = . For matrices, AI = IA = A.

20 Matrix Inverse For   0, –1 is the multiplicative inverse: –1() = ()–1 = 1. For matrices, A –1 is the inverse of A: A –1A = A A –1 = I. Excel (and other programs) will calculate A –1.

21 Inverse Matrix Example

22 Singular Matrix For  = 0, –1 does not exist.
Sometimes A –1 does not exist. In this case A is called singular or non-invertible. Excel sometimes calculates an inverse of a singular matrix when there is a lot of roundoff error—be aware!

23 Singular and Non-Singular Matrices

24 Block Diagonal Matrix Suppose A has sub-matrices along its main diagonal and is zero elsewhere. Then A is block diagonal, e.g.,

25 Matrices and a System of Linear Equations
Suppose we have a system of 2 linear equations in 2 unknowns, e.g., Matrices lead to a simple solution.

26 Matrix Representation
The equation coefficients are a matrix A: The unknowns are a vector x: The constants are a vector c.

27 Matrix Solution The equation system can be written
Multiply both sides by A –1 Solution is (since A –1A =I)

28 Matrix Solution Check: So x1 = 0 and x2 = 0.5.

Matrix and vector multiplication TRANSPOSE Matrix and vector transpose MINVERSE Matrix inverse

30 Excel and Matrices Highlight a range of cells that has the proper dimension for the result of the matrix function. Enter the matrix formula, e.g., =MINVERSE(b3:d5) Press CTRL+SHIFT+ENTER.

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