is the home less foreign interest rate differential (expressed as it

Σχετικά έγγραφα
Appendix. The solution begins with Eq. (2.15) from the text, which we repeat here for 1, (A.1)

CHAPTER 25 SOLVING EQUATIONS BY ITERATIVE METHODS

( ) ( t) ( 0) ( ) dw w. = = β. Then the solution of (1.1) is easily found to. wt = t+ t. We generalize this to the following nonlinear differential

= e 6t. = t 1 = t. 5 t 8L 1[ 1 = 3L 1 [ 1. L 1 [ π. = 3 π. = L 1 3s = L. = 3L 1 s t. = 3 cos(5t) sin(5t).

Matrices and Determinants

4.6 Autoregressive Moving Average Model ARMA(1,1)

Second Order Partial Differential Equations

Math221: HW# 1 solutions

Section 8.3 Trigonometric Equations

Notes on the Open Economy

CHAPTER 48 APPLICATIONS OF MATRICES AND DETERMINANTS

Example Sheet 3 Solutions

6.1. Dirac Equation. Hamiltonian. Dirac Eq.

HOMEWORK 4 = G. In order to plot the stress versus the stretch we define a normalized stretch:

Approximation of distance between locations on earth given by latitude and longitude

Homework 3 Solutions

Areas and Lengths in Polar Coordinates

Areas and Lengths in Polar Coordinates

ΚΥΠΡΙΑΚΗ ΕΤΑΙΡΕΙΑ ΠΛΗΡΟΦΟΡΙΚΗΣ CYPRUS COMPUTER SOCIETY ΠΑΓΚΥΠΡΙΟΣ ΜΑΘΗΤΙΚΟΣ ΔΙΑΓΩΝΙΣΜΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ 19/5/2007

r t te 2t i t Find the derivative of the vector function. 19. r t e t cos t i e t sin t j ln t k Evaluate the integral.

2 Composition. Invertible Mappings

SCHOOL OF MATHEMATICAL SCIENCES G11LMA Linear Mathematics Examination Solutions

Lecture 12 Modulation and Sampling

Section 9.2 Polar Equations and Graphs

6.3 Forecasting ARMA processes

b. Use the parametrization from (a) to compute the area of S a as S a ds. Be sure to substitute for ds!

ECE Spring Prof. David R. Jackson ECE Dept. Notes 2

ANSWERSHEET (TOPIC = DIFFERENTIAL CALCULUS) COLLECTION #2. h 0 h h 0 h h 0 ( ) g k = g 0 + g 1 + g g 2009 =?

TRM +4!5"2# 6!#!-!2&'!5$27!842//22&'9&2:1*;832<

k A = [k, k]( )[a 1, a 2 ] = [ka 1,ka 2 ] 4For the division of two intervals of confidence in R +

derivation of the Laplacian from rectangular to spherical coordinates

Finite Field Problems: Solutions

Practice Exam 2. Conceptual Questions. 1. State a Basic identity and then verify it. (a) Identity: Solution: One identity is csc(θ) = 1

Exercises 10. Find a fundamental matrix of the given system of equations. Also find the fundamental matrix Φ(t) satisfying Φ(0) = I. 1.

2. THEORY OF EQUATIONS. PREVIOUS EAMCET Bits.

Srednicki Chapter 55

C.S. 430 Assignment 6, Sample Solutions

MATH423 String Theory Solutions 4. = 0 τ = f(s). (1) dτ ds = dxµ dτ f (s) (2) dτ 2 [f (s)] 2 + dxµ. dτ f (s) (3)

2. Μηχανικό Μαύρο Κουτί: κύλινδρος με μια μπάλα μέσα σε αυτόν.

ΕΡΓΑΣΙΑ ΜΑΘΗΜΑΤΟΣ: ΘΕΩΡΙΑ ΒΕΛΤΙΣΤΟΥ ΕΛΕΓΧΟΥ ΦΙΛΤΡΟ KALMAN ΜΩΥΣΗΣ ΛΑΖΑΡΟΣ

3.4 SUM AND DIFFERENCE FORMULAS. NOTE: cos(α+β) cos α + cos β cos(α-β) cos α -cos β

Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit

Uniform Convergence of Fourier Series Michael Taylor

Solutions to Exercise Sheet 5

Inverse trigonometric functions & General Solution of Trigonometric Equations

Econ Spring 2004 Instructor: Prof. Kiefer Solution to Problem set # 5. γ (0)

Quadratic Expressions

Problem Set 3: Solutions

Χρονοσειρές Μάθημα 3

Mathematical model for HIV spreads control program with ART treatment

The Simply Typed Lambda Calculus

Homework 8 Model Solution Section

Review Exercises for Chapter 7

Jesse Maassen and Mark Lundstrom Purdue University November 25, 2013

University of Washington Department of Chemistry Chemistry 553 Spring Quarter 2010 Homework Assignment 3 Due 04/26/10

Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3

CRASH COURSE IN PRECALCULUS

Managing Production-Inventory Systems with Scarce Resources

DESIGN OF MACHINERY SOLUTION MANUAL h in h 4 0.

MathCity.org Merging man and maths

9.09. # 1. Area inside the oval limaçon r = cos θ. To graph, start with θ = 0 so r = 6. Compute dr

Other Test Constructions: Likelihood Ratio & Bayes Tests

Trigonometry 1.TRIGONOMETRIC RATIOS

Durbin-Levinson recursive method

Necessary and sufficient conditions for oscillation of first order nonlinear neutral differential equations

Fourier Series. Fourier Series


Phys460.nb Solution for the t-dependent Schrodinger s equation How did we find the solution? (not required)

Math 6 SL Probability Distributions Practice Test Mark Scheme

Reservoir modeling. Reservoir modelling Linear reservoirs. The linear reservoir, no input. Starting up reservoir modeling

Differentiation exercise show differential equation

Mock Exam 7. 1 Hong Kong Educational Publishing Company. Section A 1. Reference: HKDSE Math M Q2 (a) (1 + kx) n 1M + 1A = (1) =

ΚΥΠΡΙΑΚΗ ΕΤΑΙΡΕΙΑ ΠΛΗΡΟΦΟΡΙΚΗΣ CYPRUS COMPUTER SOCIETY ΠΑΓΚΥΠΡΙΟΣ ΜΑΘΗΤΙΚΟΣ ΔΙΑΓΩΝΙΣΜΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ 6/5/2006

Econ 2110: Fall 2008 Suggested Solutions to Problem Set 8 questions or comments to Dan Fetter 1

d dt S = (t)si d dt R = (t)i d dt I = (t)si (t)i

6. MAXIMUM LIKELIHOOD ESTIMATION

Solution Series 9. i=1 x i and i=1 x i.

Tridiagonal matrices. Gérard MEURANT. October, 2008

6.003: Signals and Systems

Section 7.6 Double and Half Angle Formulas

Concrete Mathematics Exercises from 30 September 2016

Cyclic or elementary abelian Covers of K 4

6.003: Signals and Systems. Modulation

HOMEWORK#1. t E(x) = 1 λ = (b) Find the median lifetime of a randomly selected light bulb. Answer:

The choice of an optimal LCSCR contract involves the choice of an x L. such that the supplier chooses the LCS option when x xl

Overview. Transition Semantics. Configurations and the transition relation. Executions and computation

w o = R 1 p. (1) R = p =. = 1

Key Formulas From Larson/Farber Elementary Statistics: Picturing the World, Second Edition 2002 Prentice Hall

D Alembert s Solution to the Wave Equation

Figure A.2: MPC and MPCP Age Profiles (estimating ρ, ρ = 2, φ = 0.03)..

EE512: Error Control Coding

A Note on Intuitionistic Fuzzy. Equivalence Relation

Strain gauge and rosettes

Statistical Inference I Locally most powerful tests

9.1 Introduction 9.2 Lags in the Error Term: Autocorrelation 9.3 Estimating an AR(1) Error Model 9.4 Testing for Autocorrelation 9.

( ) 2 and compare to M.

1) Formulation of the Problem as a Linear Programming Model

ω = radians per sec, t = 3 sec

Lanczos and biorthogonalization methods for eigenvalues and eigenvectors of matrices

( ) ( ) ( ) Fourier series. ; m is an integer. r(t) is periodic (T>0), r(t+t) = r(t), t Fundamental period T 0 = smallest T. Fundamental frequency ω

Transcript:

The model is solved algebraically, excep for a cubic roo which is solved numerically The mehod of soluion is undeermined coefficiens The noaion in his noe corresponds o he noaion in he program The model is given by: () λ = αγ + η Here, λ is he ex ane excess reurn on he foreign deposi (relaive o he home deposi) * as in he paper γ + is he home less foreign ineres rae differenial (expressed as i i in he paper The + subscrip is useful because we can hink of his as a predeermined iable if we were o use he Blanchard-Kahn soluion echnique) (2) λ = Eq + q γ+ + Eπ+ This is he definiion of he excess reurn π + is home less foreign inflaion π = δ q q + βeπ + (3) ( ) This is he (home less foreign) Phillips curve (4) γ = π + + ργ This is he (home less foreign) Taylor rule The following equaions are he sochasic processes for he exogenous iables: (5) q = ξq + ε (6) η = µη + u The program akes as inpu he values of he parameers α, δ, β,, ρ, ξ, µ, and he iances of q and η, which are enered in lines 8 hrough 26 in he program We posi an undeermined coefficiens soluion for he ineres differenial, he real exchange rae and he relaive inflaion raes: (7) γ = aq + bη + + cγ

(8) q = dq + eη + f γ (9) π = gq + hη + kγ Using equaions (5)-(9), we have: (0) q = dξq + dε + eµη + eu + faq + fbη + fcγ + + + Taking expecaions: Eq = dξ + fa q + eµ + + fb η + fcγ () ( ) ( ) Then again using equaions (5)-(9), we have: (2) π + = gξq + gε + + hµη + hu+ + kaq + kbη + kcγ Taking expecaions: E π = gξ + ka q + hµ + + kb η + kcγ (3) ( ) ( ) Now use (7) and (9) o make subsiuions ino equaion (4): ( ) aq + bη + cγ = gq + hη + kγ + ργ Maching coefficiens, we have: (4) a= g (5) b= h (6) c= k+ ρ Nex use (7), (9) and (3) o make subsiuions ino equaion (3): ( ) (( ) ( ) ) gq + hη + kγ = δ dq + eη + f γ δq + β gξ + ka q + hµ + kb η + kcγ Maching coefficiens, we have: (7) g = δ ( d ) + β( gξ + ka) (8) h = δe + β ( hµ + kb) (9) k = δ f + βkc 2

Eliminae λ by equaing () and (2), hen use equaions (7), (8), () and (3): (20) ( ) (2) ( ) (22) ( α ) ( aq + b + c ) = ( d + fa) q + ( e + fb) + fc ( dq + e + f ) ( aq + bη + cγ ) + ( gξ + ka) q + ( hµ + kb) η + kcγ α η γ η ξ µ η γ η γ Maching coefficiens, we have: + α a = ξd + fa d + gξ + ka + α b = µ e + fb e + µ h + kb + c = fc f + kc Equaions (4)-(22) are nine equaions ha allow for us o solve for he nine undeermined coefficiens: a, b, c, d, e, f, g, h and k Equaions (6), (9) and (22) allow us o solve for c, f, and k Firs, solve for k from (6): c ρ k = Then subsiue his ino (9): c ρ = δ f ( βc), and solve for f: f c ρ = ( βc) δ Then subsiue his ino equaion (22) o ge: c ρ c ρ + c= c c + c δ ( α) ( β ) ( ) This gives us he equaion: ( βc)( c ρ )( c) δ c( α ) δ c( c ρ ) 0= + + 3

The program solves his equaion in line 3 There are hree roos o his cubic equaion We use he soluion ha is less han one in absolue value, which is given in line 34 c ρ Then from above, he program solves for k in line 39 using k = And in line 40, he program c ρ k solves for f using f = ( βc) = ( βc) δ δ We have solved for c, f, and k Then equaions (4), (7) and (20) le us solve for a, d and a g From (4) we have g = From (20), we have: ξ d = f + + k+ a, so ( ξ ) ( α) ( f k) ( ξ ) + α ξ d = a Subsiuing hese expressions for g and d ino (7), we ge: a = ( ξ ) ( ) ( ) δ ξ β ξ + + δ + α ξ ( k ) ( ( f k) ) This is he soluion for a in line 4 of he program Then line 42 gives us d as ( + α f k) ξ a d = a, and line 43 gives us g as g = ξ ( ) Nex, equaions (5), (8), and (2) will allow us o solve for b, h and e From equaion b (5), we have h = From (2) we ge ( f + k α ) b+ + µ h= ( µ ) e, so e = ( ( ) ) ( µ ) f + k α + µ b+ Subsiuing hese ino (8) we ge: ( ( ) ) ( ) b f + k α + µ b+ b = δ + β µ + kb µ, or b = δ k f k ( µ )( β ( µ + )) δ ( ( + α ) + µ ) which is line 44 of he program 4

b Line 45 gives us h as h =, and line 46 gives us e as from (8) as ( βµ ) h βkb ( βµ βk ) b e = = δ δ Nex we solve for he real ineres rae differenial We posulae a soluion of he form r = mq + nη + pγ (23) We can use he fac ha r = γ+ Eπ+ and equaions (7) and (3) o wrie: (( ) ( ) ) mq + nη + pγ = aq + bη + cγ gξ + ka q + hµ + kb η + kcγ Maching coefficiens, we have: ( ξ ) m = a g + ka, which is line 47 of he program ( µ ) n = b h + kb, which is line 48 of he program ( ) p = c k, which is line 49 of he program Then we posi a soluion for he ex ane excess reurn: (24) λ = qq + rη + sγ From equaion (), we have λ = αγ η We can hen subsiue from (7) o ge: + qq + rη + sγ = αaq + αη b + αγ c η Maching coefficiens, we have q = αa, which is line 50 of he program r = αb, which is line 5 of he program s = αc, which is line 52 of he program So we have λ = αaq + rη + αγ c Eλ = αaξ q + α b µη + αcγ Then, ( ) + + 5

E λ = αaξ q + rµη + αce γ, and so on 2 2 + 2 + 2 We have: αa r Λ = q + η + se( γ + γ+ + γ+ 2 + ) ξ µ Now, γ = aq + bη + + cγ ec Then ( ) E γ = E aq + bη + cγ = aξ q + bµη + cγ + 2 + + + + ( ) ( ) ( ) E γ = E aq + bη + cγ = aξ + caξ q + bµ + cbµη+ c γ 2 2 2 + 3 + 2 + 2 + 2 + ( ) ( ) ( ) E γ = E aq + bη + cγ = aξ + caξ + c aξ q + bµ + cbµ + c bµη+ c γ 3 2 2 3 2 2 3 + 4 + 3 + 3 + 3 + E We see ha ( γ γ ) + + = + 2 3 2 4 3 2 ( + ξ + ξ + ξ + ξ + ( ξ + ξ) + ξ + ( ξ + ( ξ + ξ) ) + ) 2 3 2 4 3 2 b c c( c ) c c( c ) a c c c c c c q ( ( ) ) + + µ + µ + µ + µ + µ + µ + µ + µ + µ + µ + η c + ( + c) γ + γ c + 2 2 ( ) ( ( )) ( ) E ( γ + γ + ) = a + ξ ( c+ c + ) q + b + µ c+ c + η + + c γ + c γ ξ µ c + + which can be wrien as: 6

a c b c c E( γ + γ+ + ) = + ξ q + + µ η + ( + c) γ + γ+ ξ c µ c c a c b c c = + ξ q + + µ η + + c γ + aq + bη + cγ ξ c µ c c a b = q + η + γ c c c ( ξ )( ) ( µ )( ) ( ) ( ) Then we ge: αa r a b Λ = q + η + αc q + η + γ ξ µ ( ξ )( c) ( µ )( c) c αa αcb αc = q + r+ η + γ ξ c µ c c ( )( ) αa r+ c = q + η + αc γ c c c ( ξ )( ) ( µ )( ) So we can wrie (25) vq wη xγ Λ = + +, where v = w = αa ( ξ )( c) r+ c ( µ )( c), which is line 53 of he program, which is line 54 of he program αc x =, which is line 55 of he program c Nex, we calculae some iances and coiances ( γ q ) ( aq bη cγ ξq ε ) aξ ( q ) cξ ( γ q ) cov, = cov + +, + = + cov, + + + Hence, cov ( γ, q ) ( q ) aξ =, which is line 56 of he program cξ 7

= + + + = + Then, cov ( γ, η ) cov ( aq bη cγ, µη u ) bµ ( η ) cµ cov ( γ, η ) Hence, cov ( γ, η ) ( η ) + + + bµ =, which is line 57 of he program cµ ( γ+ ) = ( aq + bη + cγ) 2 2 2 = c ( γ ) + a ( q ) + b ( η ) + 2ac cov ( q, γ ) + 2bc cov ( η, γ ) This is line 58 of he program 2 2 a b 2ac 2bc cov, cov, 2 2 2 2 ( q ) ( η ) ( q γ ) ( η γ ) = + + + c c c c ( λ r) = ( qq + rη + sγ mq + nη + pγ) ( ) ( η ) ( γ ) ( ) cov (, γ ) ( ) cov ( η, γ ) cov, cov, = qm q + rn + ps + pq + ms q + pr + ns which is line 59 of he program ( Λ r) = ( vq + wη + xγ mq + nη + pγ) ( ) ( η ) ( γ ) ( ) cov (, γ ) ( ) cov ( η, γ ) cov, cov, = vm q + wn + xp + pv + mx q + pw + nx which is line 60 of he program ( r) = ( mq + nη + pγ) 2 ( ) 2 ( η ) 2 ( γ ) 2 cov (, γ ) 2 cov ( η, γ ) = m q + n + p + mp q + np which is line 6 of he program ( λ) = ( qq + rη + sγ) 2 ( ) 2 ( η ) 2 ( γ ) 2 cov (, γ ) 2 cov ( η, γ ) = q q + r + s + qs q + rs \ which is line 62 of he program Then he regression coefficien for regressing λ on r is given by line 63 of he program The regression coefficien for regressing which is line 64 of he program ( λ r) ( r ) cov, Λ on r is given by, which is ( Λ r) ( r ) cov, 8

Nex, we have: ( π) = ( gq + hη + kγ) 2 ( ) 2 ( η ) 2 ( γ ) 2 cov (, γ ) 2 cov ( η, γ ) = g q + h + k + gk q + hk which is line 65 of he program cov( π+ π) = cov ( gq+ + hη+ + kγ+, gq + hη + kγ) = cov ( gξq + gε + + hµη + hu+ + kaq + kbη + kcγ, gq + hη + kγ ) = cov (( gξ + ka) q + ( hµ + kb) η + kcγ, gq + hη + kγ) 2 = g ( gξ + ka) ( q) + h( hµ + kb) ( η) + k c ( γ) + ( k ( gξ + ka) + gkc) cov ( q, γ ) + ( h( hµ + kb) + hkc) cov ( η, γ ) which is line 66 of he program The serial correlaion of inflaion is given by cov ( π+ π) ( π ), which is line 67 of he program Then, cov ( γ+, γ) = cov ( aq + bη + cγ, γ) = c ( γ) + a cov ( γ, q) + bcov ( γ, η), which is line 68 of he program The serial correlaion of he nominal ineres rae is given by of he program cov ( γ+ γ) ( γ ), which is line 69 ( γ+ r) = ( aq + bη + cγ mq + nη + pγ) ( ) ( η ) ( γ ) ( ) cov (, γ ) ( ) cov ( η, γ ) cov, cov, = am q + bn + cp + pa + mc q + pb + nc which is line 70 of he program 9