Section 1. Matter of business (3p)
Walt Disney Company is one of the World largest communications organizations. Everyone knows
Disney! It is everywhere in our lives, from TV, radio and movies, to parks, clothing, accessories and
toys. Owning diverse medi
Federal State-Funded Education Institution of Higher Professional Education
Financial University under the Government of the Russian Federation
International Finance Faculty
Creative Homework Assignment
Company: Walt Disney
Student: Javadova S.E.
IFF2-2m
THE FEDERAL STATE-FUNDED EDUCATIONAL INSTITUTION
OF HIGHER PROFESSIONAL EDUCATION
Financial University under the Government of the Russian Federation
Department of Audit and control
On academic discipline
International audit
Auditors' Responsibilities Reg
NZ audit regulation
New Zealands system of self-regulation for auditors is inconsistent with international norms. There is no
evidence that this has adversely affected confidence in New Zealand financial markets. However, New
Zealands self-regulation syst
ELN GUJNSDTTIR 1
The Icelandic equity market
An equity market is an important component of an advanced capital market. Iceland has succeeded in
creating fairly developed financial markets and also an active equity market within a relatively short
time. De
Key market indicators, both absolute and relative (market capitalization, market capitalization/GDP,
volume of debt securities outstanding, public debt, public debt/GDP, equity trading volume etc.), country's
rank in the World/region by selected indicato
Chapter 6 Lecture Notes:
Economics for MBAs and Masters of Finance
Morris A. Davis
Cambridge University Press
1st edition
Morris A. Davis (Cambridge U Press)
Chapter 6
1st edition
1 / 23
Lecture 10: Monetary Policy
Lecture overview (25/11/13)
Federal Rese
Lectures 5-7: Households and Asset Pricing
Overview of Lectures on (21/10/13), (28/10/13) and
(04/11/13)
Labor supply1
Chapter 3 Lecture Notes:
Macroeconomics for MBAs and Masters of Finance
Income versus substitution effects
Laffer curve
Intertemporal co
Chapter 4 Lecture Notes:
Macroeconomics for MBAs and Masters of Finance
Morris A. Davis
Cambridge University Press
1st edition
Morris A. Davis (Cambridge U Press)
Chapter 4
1st edition
1 / 59
Lecture 8: Trade
Lecture overview (11/11/13)
Goods-goods trade
Econometrics 2
Souvik Datta
Adam Smith Business School, University of Glasgow
Lecture 4 (Instrumental Variables)
Souvik Datta (Uni. of Glasgow)
Econometrics 2
Spring 2017
1 / 19
History of IV
First published in 1928 in an appendix to a
book written by Phi
Econometrics 2
Souvik Datta
Adam Smith Business School, University of Glasgow
Lecture 5 (Regression with a Binary Dependent Variable)
Souvik Datta (Uni. of Glasgow)
Econometrics 2
Spring 2017
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Why Binary DV Regression?
Dependent variable not always
1
Degrees of M.A. (Soc.Sci.), M.A., B.Acc., B.Sc., LLB with
Honours Economics
Degrees of M.A. (Soc.Sci.), M.A., B.Sc., LLB with Honours
Business Economics
Econometrics 1
In-course Examination
(14:00-16:00, Thursday 29 November 2012)
Instructions:
Time al
Least Squares Estimation
Our objective is to choose
residuals.
min
S(
1; 2
1;
1;
2
2)
so as to minimize the sum of squares of the
=
XT
t=1
(yt
2
2 xt )
1
Let work rst a bit with the function we want to minimize (i.e. the sums
mation operator). Simple alge
Degrees of M.A. (Soc.Sci.), M.A., B.Acc., B.Sc., LLB with
Honours Economics
Degrees of M.A. (Soc.Sci.), M.A., B.Sc., LLB with Honours
Business Economics
Econometrics 1
In-course Examination
(14:00-16:00, Tuesday 3 December)
Instructions:
Time allowed: 2
Econometrics 1
In-course exam, November 2011
Answer guide
1.
1
X
2
4
6
Y
3
9
1/8
1/4
1/8
1/2
1/24
1/4
1/24
1/3
1/12
0
1/12
1/6
1/4
1/2
1/4
(a) The marginal probability density function of Y is h(y) where
h(1) = 1/2
h(3) = 1/3
h(9) = 1/6
(b) The conditiona
30/10/2012
Basic Sta.s.cal Theory
For Inference in the Simple
Regression Model
5.2
Assumptions of the Simple
Linear Regression Model
1. yt = 1 + 2x t + t
2. E( t) = 0 <=> E(yt) = 1 + 2x t
1
Degrees of M.A. (Soc.Sci.), M.A., B.Acc., B.Sc. with
Honours Economics
Econometrics 1: Basic Statistics and Simple Linear Regression
In-course Examination
(14:00-16:00), (8 November 2011)
Instructions:
Time allowed: 2 hours
Students should answer all
Answer Guide
Econometrics 1, in-course exam Dec. 2013
1
Question 1
a) P (E = E1) = P (E = E1; A = A1) + P (E = E1; A = A2) + P (E = E1; A =
A3) = 0:86:
b) P (A = A2jE = E1) = P (A=A2;E=E1) = 0:44:
P (E=E1)
c) P (E = E2) = P (E = E2; A = A1) + P (E = E2; A
Econometrics 2
Souvik Datta
Adam Smith Business School, University of Glasgow
Lecture 2 (Nonlinear Regression Functions)
Souvik Datta (Uni. of Glasgow)
Econometrics 2
Spring 2017
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Introduction
When is it not always possible to change one predictor w
Econometrics 2
Souvik Datta
Adam Smith Business School, University of Glasgow
Lecture 1
Souvik Datta (Uni. of Glasgow)
Econometrics 2
Spring 2017
1 / 39
References I
Christian Kleiber and Achim Zeileis.
Applied econometrics with R.
Springer Science & Busi
Econometrics 2
Souvik Datta
Adam Smith Business School, University of Glasgow
Lecture 3 (Assessing Studies Based on Multiple Regression)
Souvik Datta (Uni. of Glasgow)
Econometrics 2
Spring 2017
1 / 14
Introduction
Problems
Concepts of internal and extern
Chapter 5 Lecture Notes:
Economics for MBAs and Masters of Finance
Morris A. Davis
Cambridge University Press
1st edition
Morris A. Davis (Cambridge U Press)
Chapter 5
1st edition
1 / 41
Lecture 9: Business Cycles
Lecture overview (18/11/13)
Defining busi