The Rise in the Russian Stock Market Is it a Bubble?
|
|
- Arthur Carr
- 6 years ago
- Views:
Transcription
1 The Rise in the Russian Stock Market Is it a Bubble? International Symposion on Economic Reforms in Russia and Germany Academy of Management and Economics Saint Petersburg, Oct 2 nd, 2006 Prof. Dr. Peter Reichling Prof. Dr. Dr. Bodo Vogt Otto-von-Guericke-University Magdeburg 1
2 Technical Terms Bubbles Fads Rational Expectations Fundamental Value Keynes Beauty Contest 2
3 Agenda 1 Booming Russian Stock Market 2 Random Walk Down Dolgorukovskaya 3 Trading Strategies 4 Fundamental Value 5 Conclusion 3
4 1 Booming Russian Stock Market Stock market pays for inflation (money market does not) Index Value (Jan 00 = 100) Bull Market in Russia MICEX (RUR) RTS (USD) Price Index Year 4
5 1 Booming Russian Stock Market Risk Return Trade-offs 100% Russian Risk Premium Puzzle Excess Return Over MIBOR 50% 2005 RTS (USD) - MIBOR 8-30d MICEX (RUR) - MIBOR 8-30d % 15% 25% 35% Volatility 5
6 Agenda 1 Booming Russian Stock Market 2 Random Walk Down Dolgorukovskaya 3 Trading Strategies 4 Fundamental Value 5 Conclusion 6
7 2 Random Walk Down Dolgorukovskaya Price path is similar to a random walk 10% Index Return and Random Walk (Drift-adjusted with Same Volatility) RTS Return Random Return 20% RTS Return 0% -10% 10% 0% Random Return -20% % 7
8 2 Random Walk Down Dolgorukovskaya A Closer Look at % Volatility Clusters Low Volatility High Volatility 20% RTS Return 0% -10% 10% 0% Random Return -20% RTS Random Return % 8
9 2 Random Walk Down Dolgorukovskaya Fat Tails and Peakedness Frequency 30% 20% 10% Fat Tails of Index Returns RTS Return Random Return 0% -11% -9% -7% -5% -3% -1% 1% 3% 5% 7% 9% Daily Return (Jan 00 - Jun 06) 9
10 Agenda 1 Booming Russian Stock Market 2 Random Walk Down Dolgorukovskaya 3 Trading Strategies 4 Fundamental Value 5 Conclusion 10
11 3 Trading Strategies No strong autocorrelation Autocorrelation of RTS Returns 0,06 Correlation 0,04 0,02 0,00-0,02-0, Lag 11
12 3 Trading Strategies Non-strong momentum supports Markov Process Momentum Curve 1,3 Momentum (20 Days) 1,0 0,
13 3 Trading Strategies No significant mean reversion 45% Volatility w.r.t. Time Horizon Volatility (per Year) 35% 25% Basis (Days) 13
14 Agenda 1 Booming Russian Stock Market 2 Random Walk Down Dolgorukovskaya 3 Trading Strategies 4 Fundamental Value 5 Conclusion 14
15 4 Fundamental Value Real Index Values (Domestic View) Deviation from Fundamental Value 400 Index Value (Jan 00 = 100) 200 CPI-adjusted RTS (USD) Industrial Production 0 Volatility (CPI-adjusted RTS) 36 % Volatility (Industrial Production) 20 % Year 15
16 4 Fundamental Value Small Differences between USD- and RUR-based RTS 35 Stable Exchange Rate USD/RUR Exchange Rate Year 16
17 4 Fundamental Value Real Index Values (Foreign View) Deviation from Fundamental Value Index Value (Jan 00 = 100) US CPI-adjusted RTS Industrial Production Year 17
18 Agenda 1 Booming Russian Stock Market 2 Random Walk Down Dolgorukovskaya 3 Trading Strategies 4 Fundamental Value 5 Conclusion 18
19 5 Conclusion Results for Domestic Investors No strong deviation of the index price path from a random walk Only little volatility clustering and a small tendency to fat tails No momentum and no mean reversion indicate no arbitrage within the market No evidence for a bubble from the domestic investors viewpoint 19
20 5 Conclusion Results for US Dollar Investors Strong evidence for a bubble from the US dollar investors viewpoint Bubble must not burst as long as the USD-RUR exchange rate is stable No incentive for (domestic and) foreign investors to change their strategy or behavior 20
21 5 Conclusion Implications Implications for Domestic Investors Stock market pays for inflation and GDP growth (Nominal) stock market prices are highly correlated with the inflation rate for US dollar Investors If hedging is possible using a foreign (commodity) market (and the exchange rate stays stable), a profitable strategy with low risk can be pursued If the inflation rate is high, investors are better off with stocks than with bonds 21
SYSTEMATIC GLOBAL MACRO ( CTAs ):
G R A H M C A P I T A L M A N G E M N T G R A H A M C A P I T A L M A N A G E M E N T GC SYSTEMATIC GLOBAL MACRO ( CTAs ): PERFORMANCE, RISK, AND CORRELATION CHARACTERISTICS ROBERT E. MURRAY, CHIEF OPERATING
More informationHo Ho Quantitative Portfolio Manager, CalPERS
Portfolio Construction and Risk Management under Non-Normality Fiduciary Investors Symposium, Beijing - China October 23 rd 26 th, 2011 Ho Ho Quantitative Portfolio Manager, CalPERS The views expressed
More informationFinancial Returns: Stylized Features and Statistical Models
Financial Returns: Stylized Features and Statistical Models Qiwei Yao Department of Statistics London School of Economics q.yao@lse.ac.uk p.1 Definitions of returns Empirical evidence: daily prices in
More informationTrend-following strategies for tail-risk hedging and alpha generation
Trend-following strategies for tail-risk hedging and alpha generation Artur Sepp FXCM Algo Summit 15 June 2018 Disclaimer I Trading forex/cfds on margin carries a high level of risk and may not be suitable
More informationKey Trends in the US Economy, the Industrial and the Rail Sectors. Sam Kyei Chief Economist SAK ECONOMICS. December 5, 2018
Key Trends in the US Economy, the Industrial and the Rail Sectors Sam Kyei Chief Economist SAK ECONOMICS December 5, 2018 0 NATIONAL ASSOCIATION OF BUSINESS ECONOMICS There are many exciting NABE events
More informationFinancial Econometrics Jeffrey R. Russell. Midterm 2014 Suggested Solutions. TA: B. B. Deng
Financial Econometrics Jeffrey R. Russell Midterm 2014 Suggested Solutions TA: B. B. Deng Unless otherwise stated, e t is iid N(0,s 2 ) 1. (12 points) Consider the three series y1, y2, y3, and y4. Match
More informationMeasuring the informational efficiency in the Stock Market
Measuring the informational efficiency in the Stock Market Wiston Adrián Risso Department of Economics University of Siena risso@unisi.it Outline Informational Efficiency & the Efficient Market Hypothesis
More informationA Note on the Steepening Curve and Mortgage Durations
Robert Young (212) 816-8332 robert.a.young@ssmb.com The current-coupon effective duration has reached a multi-year high of 4.6. A Note on the Steepening Curve and Mortgage Durations While effective durations
More informationBehavioral Finance 1-1. Chapter 4 Challenges to Market Efficiency
Behavioral Finance 1-1 Chapter 4 Challenges to Market Efficiency 1 Introduction 1-2 Early tests of market efficiency were largely positive However, more recent empirical evidence has uncovered a series
More informationThe Efficient Market Hypothesis
Efficient Market Hypothesis (EMH) 11-2 The Efficient Market Hypothesis Maurice Kendall (1953) found no predictable pattern in stock prices. Prices are as likely to go up as to go down on any particular
More information4 Homework: Forwards & Futures
Queens College, CUNY, Department of Computer Science Computational Finance CSCI 365 / 765 Fall 2017 Instructor: Dr. Sateesh Mane c Sateesh R. Mane 2017 November 15, 2017 due Friday October 13, 2017 at
More informationFINANCIAL MATHEMATICS WITH ADVANCED TOPICS MTHE7013A
UNIVERSITY OF EAST ANGLIA School of Mathematics Main Series UG Examination 2016 17 FINANCIAL MATHEMATICS WITH ADVANCED TOPICS MTHE7013A Time allowed: 3 Hours Attempt QUESTIONS 1 and 2, and THREE other
More informationPredicting Inflation without Predictive Regressions
Predicting Inflation without Predictive Regressions Liuren Wu Baruch College, City University of New York Joint work with Jian Hua 6th Annual Conference of the Society for Financial Econometrics June 12-14,
More informationModeling Uncertainty in Financial Markets
Modeling Uncertainty in Financial Markets Peter Ritchken 1 Modeling Uncertainty in Financial Markets In this module we review the basic stochastic model used to represent uncertainty in the equity markets.
More informationInflation Indexed Bond Valuation Introduction
Inflation Indexed Bond Valuation Introduction David Lee FinPricing http://www.finpricing.com Summary Inflation Indexed Bond Introduction The use of Inflation Indexed Bonds Valuation Practical Guide A Real
More informationMarket Risk Analysis Volume II. Practical Financial Econometrics
Market Risk Analysis Volume II Practical Financial Econometrics Carol Alexander John Wiley & Sons, Ltd List of Figures List of Tables List of Examples Foreword Preface to Volume II xiii xvii xx xxii xxvi
More informationAttempt QUESTIONS 1 and 2, and THREE other questions. Do not turn over until you are told to do so by the Invigilator.
UNIVERSITY OF EAST ANGLIA School of Mathematics Main Series UG Examination 2016 17 FINANCIAL MATHEMATICS MTHE6026A Time allowed: 3 Hours Attempt QUESTIONS 1 and 2, and THREE other questions. Notes are
More informationWealth Management for the Ultra High Networth (UHNW) Clients
Wealth Management for the Ultra High Networth (UHNW) Clients 22 nd Private Banker International Wealth Summit Singapore 24 th October 2012 Wealth Management for the Ultra High Networth (UHNW) Clients Agenda
More informationUNDERSTANDING THE MARKET UNCERTAINTIES. Andrea Loddo Associate Director, Financial Risk Advisory
UNDERSTANDING THE MARKET UNCERTAINTIES Andrea Loddo Associate Director, Financial Risk Advisory Executive Summary Markets are unpredictable: the implications on risk management Rethinking risk management:
More informationInvestment Symposium March I5 Investment Assumptions for a New World
Investment Symposium March 2010 I5 Investment Assumptions for a New World Daniel Finn Anthony Dardis Edward Yao Moderator Ken Griffin Impacts on Equity Modeling Presented by: Daniel Finn, FCAS, ASA Director
More informationThe performance of mutual funds on French stock market:do star funds managers exist or do funds have to hire chimpanzees?
MPRA Munich Personal RePEc Archive The performance of mutual funds on French stock market:do star funds managers exist or do funds have to hire chimpanzees? Michel Blanchard and philippe Bernard INALCO,
More informationINTRODUCTION TO PORTFOLIO ANALYSIS. Dimensions of Portfolio Performance
INTRODUCTION TO PORTFOLIO ANALYSIS Dimensions of Portfolio Performance Interpretation of Portfolio Returns Portfolio Return Analysis Conclusions About Past Performance Predictions About Future Performance
More informationINVESTMENTS Class 2: Securities, Random Walk on Wall Street
15.433 INVESTMENTS Class 2: Securities, Random Walk on Wall Street Reto R. Gallati MIT Sloan School of Management Spring 2003 February 5th 2003 Outline Probability Theory A brief review of probability
More informationAlexander O. Baranov
Alexander O. Baranov (NOVOSIBIRSK STATE UNIVERSITY, NOVOSIBIRSK, RUSSIA) DEVELOPMENT OF MONETARY BLOCK OF THE DYNAMIC INPUT OUTPUT MODEL OF RUSSIAN ECONOMY In this article we pay main attention to the
More informationFINANCIAL MATHEMATICS WITH ADVANCED TOPICS MTHE7013A
UNIVERSITY OF EAST ANGLIA School of Mathematics Main Series UG Examination 2016 17 FINANCIAL MATHEMATICS WITH ADVANCED TOPICS MTHE7013A Time allowed: 3 Hours Attempt QUESTIONS 1 and 2, and THREE other
More informationFinancial Market Introduction
Financial Market Introduction Alex Yang FinPricing http://www.finpricing.com Summary Financial Market Definition Financial Return Price Determination No Arbitrage and Risk Neutral Measure Fixed Income
More informationRisk Modeling: Lecture outline and projects. (updated Mar5-2012)
Risk Modeling: Lecture outline and projects (updated Mar5-2012) Lecture 1 outline Intro to risk measures economic and regulatory capital what risk measurement is done and how is it used concept and role
More informationAttempt QUESTIONS 1 and 2, and THREE other questions. Do not turn over until you are told to do so by the Invigilator.
UNIVERSITY OF EAST ANGLIA School of Mathematics Main Series UG Examination 2016 17 FINANCIAL MATHEMATICS MTHE6026A Time allowed: 3 Hours Attempt QUESTIONS 1 and 2, and THREE other questions. Notes are
More informationPension Reforms in Armenia
Pension Reforms in Armenia Joe McLoughlin Co-Head of Managed Portfolios GAM London Limited Ensuring the Pillars remain Strong! ~ Asset Management for the Long-Term 28 November 2012 GAM ~~ Global Asset
More informationGlobal credit crunch: myth or reality? Influence on the Russian banking system and economy
Global credit crunch: myth or reality? Influence on the Russian banking system and economy The Second Banking Forum CIS Countries and Eastern Europe Vienna, 24-27 April 2008 Global capital market crisis
More informationPension Risk Management
Data as of June 30, 2010 Presented to: UBS Institutional Presented by: Bradley D. Jacob BJacob@RyanLabs.com Sean F. McShea SMcShea@RyanLabs.comSh What is? 1. represents an enterprise risk management oriented
More informationLeading Economic Indicator Nebraska
Nebraska Monthly Economic Indicators: December 20, 2017 Prepared by the UNL College of Business Administration, Bureau of Business Research Author: Dr. Eric Thompson Leading Economic Indicator...1 Coincident
More informationInvestment Update. Adventurous Portfolio February 2018 RUSSELL INVESTMENTS
RUSSELL INVESTMENTS Investment Update Adventurous Portfolio February 2018 This report is designed for use by the financial advisor to assist in making a personal recommendation or managing investments
More informationLevel III Learning Objectives by chapter
Level III Learning Objectives by chapter 1. System Design and Testing Explain the importance of using a system for trading or investing Compare and analyze differences between a discretionary and nondiscretionary
More informationFinancial Stability Review June Presentation by Tommaso Padoa-Schioppa 31 May 2005
Financial Stability Review June 25 Presentation by Tommaso Padoa-Schioppa 31 May 25 1 Outline I Financial Stability concepts and processes II Areas of vulnerability Global macro-finance Financial markets
More informationTable of contents 1. Risk measurement 2. Beware models and probabilities 3. Beware one s greed 4. How to tame risks 5. Conclusion 2
The risky business of risk management 2nd SINO-FRENCH FINANCIAL FORUM Dong-Sinh NGO October 17 2008 Table of contents 1. Risk measurement 2. Beware models and probabilities 3. Beware one s greed 4. How
More informationTrading Volatility in Commodities. Péter Dobránszky. 25 th March 2009, New York
Trading Volatility in Commodities Péter Dobránszky 25 th March 2009, New York Introduction Assessing which commodity trading models thrive in volatility Getting new focus because of the underperformance
More informationChallenges in Computational Finance and Financial Data Analysis
Challenges in Computational Finance and Financial Data Analysis James E. Gentle Department of Computational and Data Sciences George Mason University jgentle@gmu.edu http:\\mason.gmu.edu/~jgentle 1 Outline
More informationEmerging Markets. Industry Overview
Emerging Markets Industry Overview What are Emerging Markets? Emerging Markets: Economy: Experiencing rapid growth and industrialization Possess securities markets that are progressing toward, but have
More informationО КЛЮЧЕВОЙ СТАВКЕ RUSSIAN ECONOMIC OUTLOOK AND CHALLENGES TO MONETARY POLICY. December Bank of Russia Presentation for Investors
О КЛЮЧЕВОЙ СТАВКЕ RUSSIAN ECONOMIC OUTLOOK AND CHALLENGES TO MONETARY POLICY Bank of Russia Presentation for Investors December 16 USD per barrel RUB / USD 2 Oil Eхporters Production-cut Agreements Support
More informationAggregate Earnings Surprises, & Behavioral Finance
Stock Returns, Aggregate Earnings Surprises, & Behavioral Finance Kothari, Lewellen & Warner, JFE, 2006 FIN532 : Discussion Plan 1. Introduction 2. Sample Selection & Data Description 3. Part 1: Relation
More informationQuiz I Topics in Macroeconomics 2 Econ 2004
Quiz I Topics in Macroeconomics 2 Econ 2004 You have 35 min to complete the quiz. Please write the letter of your answer choice in the space provided on this COLOURED FRONT SHEET!. Clearly write your name
More informationCredit Risk Modelling: A Primer. By: A V Vedpuriswar
Credit Risk Modelling: A Primer By: A V Vedpuriswar September 8, 2017 Market Risk vs Credit Risk Modelling Compared to market risk modeling, credit risk modeling is relatively new. Credit risk is more
More informationVOLATILITY AND COST ESTIMATING
VOLATILITY AND COST ESTIMATING J. Leotta Slide 1 OUTLINE Introduction Implied and Stochastic Volatility Historic Realized Volatility Applications to Cost Estimating Conclusion Slide 2 INTRODUCTION Volatility
More informationA market risk model for asymmetric distributed series of return
University of Wollongong Research Online University of Wollongong in Dubai - Papers University of Wollongong in Dubai 2012 A market risk model for asymmetric distributed series of return Kostas Giannopoulos
More informationLearning Objectives CMT Level III
Learning Objectives CMT Level III - 2018 The Integration of Technical Analysis Section I: Risk Management Chapter 1 System Design and Testing Explain the importance of using a system for trading or investing
More informationFigure 1.1. Repo rate with uncertainty bands
Chapter 1 Figure 1.1. Repo rate with uncertainty bands Per cent Note. The uncertainty bands for the repo rate are based on the Riksbank s historical forecasting errors and the ability of risk-premium adjusted
More informationBehavioral Finance. Understanding the Social, Cognitive, and Economic Debates EDWIN T. BURTON SUNIT N. SHAH
Behavioral Finance Understanding the Social, Cognitive, and Economic Debates EDWIN T. BURTON SUNIT N. SHAH Contents Preface xi Introduction 1 PART ONE Introduction to Behavioral Finance CHAPTER 1 What
More informationMeasuring Risk in Canadian Portfolios: Is There a Better Way?
J.P. Morgan Asset Management (Canada) Measuring Risk in Canadian Portfolios: Is There a Better Way? May 2010 On the Non-Normality of Asset Classes Serial Correlation Fat left tails Converging Correlations
More informationLevel III Learning Objectives by chapter
Level III Learning Objectives by chapter 1. Triple Screen Trading System Evaluate the Triple Screen Trading System and identify its strengths Generalize the characteristics of this system that would make
More informationF E M M Faculty of Economics and Management Magdeburg
OTTO-VON-GUERICKE-UNIVERSITY MAGDEBURG FACULTY OF ECONOMICS AND MANAGEMENT Comparison of the Stock Price Clustering of stocks which are traded in the US and Germany Is XETRA more efficient than the NYSE?
More informationQuantitative Methods in Investment and Risk Management
Quantitative Methods in Investment and Risk Management 2007 09 20 Leo de Bever Chief Investment Officer Victorian Funds Management Corporation Victorian Funds Management Corporation Main Points Superannuation
More informationFinancial Instruments Valuation and the Role of Quantitative Analysis in a Consulting Firm
Financial Instruments Valuation and the Role of Quantitative Analysis in a Consulting Firm Ľuboš Briatka Praha, May 29 th, 2012 Financial Instruments - definition A financial instrument is any contract
More informationUS$m mn
Jamaica and the Global Financial Crisis Outline Pre-Stand By Jamaica Jamaica Debt Exchange pre-condition to the IMF-SBA Post-Stand By Jamaica Key Issues 2 3 PRE-STAND BY JAMAICA Persistent national savings
More informationINTRODUCTION TO THE FX MARKET MAREN ROMSTAD, BLINDERN, 25 TH MARCH
INTRODUCTION TO THE FX MARKET MAREN ROMSTAD, MRO@NBIM.NO BLINDERN, 25 TH MARCH Agenda Market characteristics Basic theories and models Investment strategies The currency basket of NBIM MARKET CHARACTERISTICS
More informationLeading Economic Indicator Nebraska
Nebraska Monthly Economic Indicators: July 29, 2016 Prepared by the UNL College of Business Administration, Department of Economics Authors: Dr. Eric Thompson, Dr. William Walstad Leading Economic Indicator...1
More informationQuiz I Topics in Macroeconomics 2 Econ 2004
Quiz I Topics in Macroeconomics 2 Econ 2004 You have 35 min to complete the quiz. Please write the letter of your answer choice in the space provided on this COLOURED FRONT SHEET!. Clearly write your name
More informationInvestment Update. Secure Portfolio October 2018 RUSSELL INVESTMENTS
RUSSELL INVESTMENTS Investment Update Secure Portfolio October 2018 This report is designed for use by the financial advisor to assist in making a personal recommendation or managing investments for the
More informationCrowd-sourced Credit Transition Matrices and CECL
Crowd-sourced Credit Transition Matrices and CECL 4 th November 2016 IACPM Washington, D.C. COLLECTIVE INTELLIGENCE FOR GLOBAL FINANCE Agenda Crowd-sourced, real world default risk data a new and extensive
More informationInflation projection of Narodowy Bank Polski based on the NECMOD model
Economic Institute Inflation projection of Narodowy Bank Polski based on the NECMOD model Warsaw / 9 March Inflation projection of the NBP based on the NECMOD model Outline: Introduction Changes between
More informationHedge Funds under Fire. For how long? Building Competence. Crossing Borders.
Hedge Funds under Fire. For how long? Building Competence. Crossing Borders. Prof. Dr. Peter Meier, Head Centre for Asset Management HFM Allocator Network: Summit Zurich, September 15, 2016 Overview: Hedge
More informationBusiness cycle. Giovanni Di Bartolomeo Sapienza University of Rome Department of economics and law
Sapienza University of Rome Department of economics and law Advanced Monetary Theory and Policy EPOS 2013/14 Business cycle Giovanni Di Bartolomeo giovanni.dibartolomeo@uniroma1.it US Real GDP Real GDP
More informationA Non-Random Walk Down Wall Street
A Non-Random Walk Down Wall Street Andrew W. Lo A. Craig MacKinlay Princeton University Press Princeton, New Jersey list of Figures List of Tables Preface xiii xv xxi 1 Introduction 3 1.1 The Random Walk
More informationCapital Markets Outlook 100 LOWDER BROOK DRIVE SUITE 1100 WESTWOOD MA FAX
M E K E T A I N V E S T M E N T G R O U P 00 LOWDER BROOK DRIVE SUITE 00 WESTWOOD MA 02090 78 47 3500 FAX 78 47 34 Investors are faced with three primary issues in the near-term: ) historically low bond
More informationThe Black-Scholes Model
The Black-Scholes Model Liuren Wu Options Markets (Hull chapter: 12, 13, 14) Liuren Wu ( c ) The Black-Scholes Model colorhmoptions Markets 1 / 17 The Black-Scholes-Merton (BSM) model Black and Scholes
More informationCredit and Financial Cycles as Predictors of Business Cycles: Example of EAEU Countries
Credit and Financial Cycles as Predictors of Business Cycles: Example of EAEU Countries Yulia Vymyatnina, professor Daria Antonova, associate researcher Mariia Artemova, junior researcher European University
More informationSTATISTICAL MECHANICS OF COMPLEX SYSTEMS: CORRELATION, NETWORKS AND MULTIFRACTALITY IN FINANCIAL TIME SERIES
ABSTRACT OF THESIS ENTITLED STATISTICAL MECHANICS OF COMPLEX SYSTEMS: CORRELATION, NETWORKS AND MULTIFRACTALITY IN FINANCIAL TIME SERIES SUBMITTED TO THE UNIVERSITY OF DELHI FOR THE DEGREE OF DOCTOR OF
More informationSPIMEX: Key performance indicators. Слайд 1
SPIMEX: Key performance indicators Слайд 1 SPIMEX: Russia s largest commodities exchange Profile Saint-Petersburg International Mercantile Exchange (SPIMEX) KEY shareholders: Transneft, Rosneft, Gazprom
More informationGlobal Journal of Finance and Banking Issues Vol. 5. No Manu Sharma & Rajnish Aggarwal PERFORMANCE ANALYSIS OF HEDGE FUND INDICES
PERFORMANCE ANALYSIS OF HEDGE FUND INDICES Dr. Manu Sharma 1 Panjab University, India E-mail: manumba2000@yahoo.com Rajnish Aggarwal 2 Panjab University, India Email: aggarwalrajnish@gmail.com Abstract
More information11/6/2013. Chapter 17: Consumption. Early empirical successes: Results from early studies. Keynes s conjectures. The Keynesian consumption function
Keynes s conjectures Chapter 7:. 0 < MPC < 2. Average propensity to consume (APC) falls as income rises. (APC = C/ ) 3. Income is the main determinant of consumption. 0 The Keynesian consumption function
More informationCounterparty Credit Risk Simulation
Counterparty Credit Risk Simulation Alex Yang FinPricing http://www.finpricing.com Summary Counterparty Credit Risk Definition Counterparty Credit Risk Measures Monte Carlo Simulation Interest Rate Curve
More informationUnderstanding the Principles of Investment Planning Stochastic Modelling/Tactical & Strategic Asset Allocation
Understanding the Principles of Investment Planning Stochastic Modelling/Tactical & Strategic Asset Allocation John Thompson, Vice President & Portfolio Manager London, 11 May 2011 What is Diversification
More informationCOMMODITY PRICE VARIABILITY: ITS NATURE AND CAUSES
GENERAL DISTRIBUTION OCDE/GD(93)71 COMMODITY PRICE VARIABILITY: ITS NATURE AND CAUSES ORGANISATION FOR ECONOMIC CO-OPERATION AND DEVELOPMENT Paris 1993 COMPLETE DOCUMENT AVAILABLE ON OLIS IN ITS ORIGINAL
More informationNepal Rastra Bank Research Department Baluwatar, Kathmandu
Comparative Analysis of Inflation in Nepal and India Nepal Rastra Bank Research Department Baluwatar, Kathmandu 3 November 11 Nepal Rastra Bank Research Department 3 November 11 Comparative Analysis of
More informationCHAPTER 11. The Efficient Market Hypothesis INVESTMENTS BODIE, KANE, MARCUS. Copyright 2011 by The McGraw-Hill Companies, Inc. All rights reserved.
CHAPTER 11 The Efficient Market Hypothesis McGraw-Hill/Irwin Copyright 2011 by The McGraw-Hill Companies, Inc. All rights reserved. 11-2 Efficient Market Hypothesis (EMH) Maurice Kendall (1953) found no
More informationEnergy Price Processes
Energy Processes Used for Derivatives Pricing & Risk Management In this first of three articles, we will describe the most commonly used process, Geometric Brownian Motion, and in the second and third
More informationMonetary Policy Report 1/09
.. Monetary Policy Report / Governor Svein Gjedrem London, March Norwegian banks equity capital ) Per cent of total assets. - Sources: Klovland (), Statistics Norway and Norges Bank ) Includes savings
More informationRUSSIAN ECONOMIC OUTLOOK AND MONETARY POLICY. RUSSIA S ECONOMIC OUTLOOK AND MONETARY POLICY December 2018
4% RUSSIA S ECONOMIC OUTLOOK AND December 1 2 Consumer prices (1) At the end of 1, inflation is expected to be close to 4%, which corresponds to the Bank of Russia s target 2 Inflation indicators, % YoY
More information03/01/14 Prof. Charles Becker Technical Presentation: The Role of Speculation in Real Estate Cycles
Technical Presentation: The Role of Speculation in Real Estate Cycles Part I: Overview: Outrage over Real Estate Cycles: Across countries, it is a commonly held view that real estate cycles are the product
More informationInflation Targeting and Inflation Prospects in Canada
Inflation Targeting and Inflation Prospects in Canada CPP Interdisciplinary Seminar March 2006 Don Coletti Research Director International Department Bank of Canada Overview Objective: answer questions
More informationUniversal Properties of Financial Markets as a Consequence of Traders Behavior: an Analytical Solution
Universal Properties of Financial Markets as a Consequence of Traders Behavior: an Analytical Solution Simone Alfarano, Friedrich Wagner, and Thomas Lux Institut für Volkswirtschaftslehre der Christian
More information2015 FUZZY DAY CONFERENCE Facts that are Not Facts. The US dollar Safe Haven Myth and the United States Hedge Fund.
2015 FUZZY DAY CONFERENCE Facts that are Not Facts The US dollar Safe Haven Myth and the United States Hedge Fund Alessio de Longis 1 The Role of Currency in Institutional Portfolios, edited by Momtchil
More informationEU ETS - any fundamental drivers left?
EU ETS - any fundamental drivers left? 4 th annual European Emissions Markets conference 26 Sept 2012, Brussels Marcus Ferdinand, Senior Market Analyst Setting the scene Market awaked from a long sleep
More information4 August Q 2016 Earnings Presentation
4 August 2016 2Q 2016 Earnings Presentation Key developments in April July 2016 Main corporate events The Supervisory Board called EGM on Sept 2 nd. The EGM will vote on a corporate restructuring proposal
More informationBUILDING INVESTMENT PORTFOLIOS WITH AN INNOVATIVE APPROACH
BUILDING INVESTMENT PORTFOLIOS WITH AN INNOVATIVE APPROACH Asset Management Services ASSET MANAGEMENT SERVICES WE GO FURTHER When Bob James founded Raymond James in 1962, he established a tradition of
More informationThe Black-Scholes Model
The Black-Scholes Model Liuren Wu Options Markets Liuren Wu ( c ) The Black-Merton-Scholes Model colorhmoptions Markets 1 / 18 The Black-Merton-Scholes-Merton (BMS) model Black and Scholes (1973) and Merton
More informationJaime Frade Dr. Niu Interest rate modeling
Interest rate modeling Abstract In this paper, three models were used to forecast short term interest rates for the 3 month LIBOR. Each of the models, regression time series, GARCH, and Cox, Ingersoll,
More informationPrice Impact, Funding Shock and Stock Ownership Structure
Price Impact, Funding Shock and Stock Ownership Structure Yosuke Kimura Graduate School of Economics, The University of Tokyo March 20, 2017 Abstract This paper considers the relationship between stock
More informationPredictability in finance
Predictability in finance Two techniques to discuss predicability Variance ratios in the time dimension (Lo-MacKinlay)x Construction of implementable trading strategies Predictability, Autocorrelation
More informationThe Spot Forward Exchange Rate Relation in Indian Foreign Exchange Market - An Analysis
MPRA Munich Personal RePEc Archive The Spot Forward Exchange Rate Relation in Indian Foreign Exchange Market - An Analysis Golaka Nath CCIL 9. October 2013 Online at http://mpra.ub.uni-muenchen.de/51591/
More informationAsset Allocation in times of change Investment Summit Brussels
Asset Management Version Belgium For Professional Investors only Asset Allocation in times of change Investment Summit Brussels Dr. Daniel Rudis, CAIA Strategist, Global Investment Solutions 26 February
More informationThe key metrics we monitor in this Macro Dashboard have stayed largely unchanged since our last report:
Memorandum To From : Staff : BW Copy to : Date : August 13 th, 2018 Subject : Macro Dashboard Q II 2018 V_2.0 A. Summary of Results The key metrics we monitor in this Macro Dashboard have stayed largely
More informationBusiness Cycle Measurement
Business Cycle Measurement Chapter 3 Topics in Macroeconomics 2 Economics Division University of Southampton February 2009 Chapter 3 1/31 Topics in Macroeconomics Outline Regularities in GDP Fluctuations
More informationFinancial Markets & Risk
Financial Markets & Risk Dr Cesario MATEUS Senior Lecturer in Finance and Banking Room QA259 Department of Accounting and Finance c.mateus@greenwich.ac.uk www.cesariomateus.com Session 3 Derivatives Binomial
More informationBuilding Hedge Fund Portfolios Capable of Generating Absolute Return within Stressful Market Environments
Building Hedge Fund Portfolios Capable of Generating Absolute Return within Stressful Market Environments Presented to: October 20, 2011 Paul Lucek SSARIS Advisors, LLC SSARIS Advisors, LLC Wilton Corporate
More informationFinancial Economics. Runs Test
Test A simple statistical test of the random-walk theory is a runs test. For daily data, a run is defined as a sequence of days in which the stock price changes in the same direction. For example, consider
More informationCHAPTER II LITERATURE STUDY
CHAPTER II LITERATURE STUDY 2.1. Risk Management Monetary crisis that strike Indonesia during 1998 and 1999 has caused bad impact to numerous government s and commercial s bank. Most of those banks eventually
More informationHow to Time the Commodity Market
EDHEC RISK AND ASSET MANAGEMENT RESEARCH CENTRE 393-400 promenade des Anglais 06202 Nice Cedex 3 Tel.: +33 (0)4 93 18 32 53 E-mail: research@edhec-risk.com Web: www.edhec-risk.com How to Time the Commodity
More informationUsing Fractals to Improve Currency Risk Management Strategies
Using Fractals to Improve Currency Risk Management Strategies Michael K. Lauren Operational Analysis Section Defence Technology Agency New Zealand m.lauren@dta.mil.nz Dr_Michael_Lauren@hotmail.com Abstract
More informationGlobal House View: Market Outlook
HSBC GLOBAL ASSET MANAGEMENT September 29 Global House View: Market Outlook Contents 1688/HSB1395a Market performance Macro-economic Picture Market Views: high level asset allocation Market Views: Equity
More information