Detailed Examples of the Modifications to Accommodate. any Decimal or Fractional Price Grid

Size: px
Start display at page:

Download "Detailed Examples of the Modifications to Accommodate. any Decimal or Fractional Price Grid"

Transcription

1 eailed Examples of he Modificaions o ccommodae any ecimal or Fracional Price Grid The Holden Model on any ecimal or Fracional Price Grid This secion presens he modificaions of he Holden model o accommodae any decimal or fracional price grid. ccouning for decimal price grids adds considerably complexiy o he general formulas. I use a sandard example of a decimal price grid. Specifically, he possible effecive spreads ( he 's) s are 0.0, 0.05, 0.0, 0.5, and.00 and J = 5. To build up o he general formulas, I inroduce several new variables o eep rac of various aribues of a decimal (or fracional) price grid. Le and J + be he oal number of (rade) prices and (no-rade) midpoins, respecively, corresponding o he h spread (,,, J) = K. For prices, here are 00 pennies, 0 nicels, 0 dimes, quarers, and dollar, so 0,, 3, =, and 5 =. For midpoins, here are 00 odd pennies, 0 odd nicels, 0 odd dimes, odd quarers, and odd dollars, so 6 0, 7,, 9 =, and 0 =. To build up his general formula, I need o inroduce a new variable. efine special price incremens for he h spread as price incremens ha can be generaed by he h spread, bu no by any larger spreads. Le and J + be he number of special prices and special midpoins, respecively, corresponding o he h spread (,,, J) number of special price incremens for he h spread (,,, J) incremens of he h spread. = K. Le be he = K which overlap he price Table summarizes he,, and variables for his sandard example.

2 Table,, and for a ecimal Price Grid Corresponding Prices or Spread midpoins? 0.0 Prices Prices 0 =, = Prices 0 3 =, 3 =, 33 = 0.5 Prices 3 = 3, = 3, 3 =, = Prices 5 =, 5 =, 53 =, 5 =, 55 = Midpoins Midpoins = 6, 7 = Midpoins 0 0,, Midpoins 9 =, 9 =, 93, 9 = 0.00 Midpoins 0,, 0,, 0,3, 0,, 0,5 = Firs consider he s for he prices. u of he 00 penny price incremens, 0 are special for he 0.0 spread, because hey can be generaed by a 0.0 spread, bu no by 0.05 spread (or any larger spread). I call hese special incremens off pennies. They are all price incremens where he las digi is,, 3,, 6, 7,, or 9. u of he 0 nicels, are special for he 0.05 spread, because hey can be generaed by a 0.05 spread, bu no by 0.0 spread (or any larger spread). These off nicels are where he las wo digis are 05, 5, 35, 5, 55, 65, 5, or 95. u of he 0 dimes, off dimes are special for he 0.0 spread, namely 0, 0, 30, 0, 60, 70, 0, or 90. u of he quarers, 3 off quarers are special for he 0.5 spread, namely 5, 50, or 75. Hence,, =, 3 =, and = 3. For he larges ( he Jh ) effecive spread, all of is price incremens are special by definiion J = =. J Now consider he J + s for he midpoins. u of 00 odd pennies, 0 are also odd nicels and 0 are special because hey are no odd nicels or above. u of 0 odd nicels, none are odd dimes, bu are odd quarers, so 6 odd nicels are special. ll 0 of he odd

3 dimes are special because hey are no odd quarers or above. ll of he odd special because hey are no odd dollars. The single odd is he highes spread. Firs consider he quarers are dollar is special, by definiion, because i ' s for he prices. ll 0 special price incremens for a 0.0 spread are pennies. ll special price incremens for a 0.05 spread are boh nicels and pennies. ll special price incremens for a 0.0 spread are dimes, nicels, and pennies. ll 3 special price incremens for a 0.5 spread are quarers, nicels, and pennies, bu imporanly one is a dime ( 0.50 ). The single special price incremen for a.00 spread is a dollar, quarer, dime, nicel, and penny. Now consider he ' s for he midpoins. ll 0 of he special off pennies are off pennies. ll 6 of he special off nicels are boh off nicels and off pennies. ll 0 of he special odd dimes are odd dimes, bu none of hem are off nicels or off pennies. ll of he special odd quarers are odd quarers, off nicels, and off pennies, bu none of hem are odd dimes. The single special odd dollar is a odd dollar, bu i is no an odd quarer, odd dime, off nicel, or off penny. y creaing a ree similar o Figure for a decimal price grid, i is sraigh-forward o compue he cluser probabiliies Pr ( C ) cluser Pr ( H h C ) = and condiional probabiliy of a half spread given a paricular price = =. Using he firs par of a ree similar o Figure for a decimal price grid as a emplae, he probabiliies of he rade price clusers are γµ = Pr ( C = ) = =,, K, J. () Similarly, he probabiliies of he no-rade midpoin clusers are =, Pr ( C = J + ) = γ ( µ ) =,, K, J. ()

4 Using he firs par of a ree similar o Figure for a decimal price grid as a emplae, he condiional probabiliy of a half spread given a paricular price cluser is µ ( ) γ Pr ( H = h C = ) = 0,, and =,, K, J, (3) Pr and ( ) 0 ( C = ) Pr H = h C = =,, K, J. () Similarly, he condiional probabiliy of a half spread given a paricular midpoin cluser is ( ) Pr H = h C = J + = =,, K, J (5) and ( ) 0 Pr H = h C = J + 0,, and =,, K, J. (6) To complee he compuaion, equaions () (6) are subsiued ino he lielihood funcion equaion and esimaed. To illusrae how a fracional price grid fis ino he general formula of he Holden model, consider a 6 price grid where he possible effecive spreads are 6,,,, and. Table shows he,, and variables for his fracional price grid. Table,, and for a Fracional Price Grid Corresponding Prices or Spread midpoins? 6 Prices 6 = Prices =, = 3 Prices 3 =, 3 =, 33 = Prices =, =, 3 =, = 5 Prices 5 =, 5 =, 53 =, 5 =, 55 = 6 6 Midpoins = 6 7 Midpoins 7, 7 = Midpoins,, 3 = 9 Midpoins 9, 9, 93, 9 = 0 Midpoins 0,, 0,, 0,3, 0,, 0,5 = y inspecion of he coefficiens in Table, i is clear ha

5 + = =,3, K, J and = = J. (7) Subsiuing hese coefficiens ino equaions () and (3) yield he corresponding fracional Holden formulas. lso, by inspecion of he coefficiens, = for = and, for <. () Subsiuing hese coefficiens ino equaion () yields he corresponding fracional Holden formula. Equaions () (6) mach he remaining fracional equaions, which complees he demonsraion. The Effecive Tic Model on any ecimal or Fracional Price Grid This secion presens he general formula for he Effecive Tic model, which wors on any decimal or fracional price grid. Many price grids exhibi he propery ha he price incremens overlap 00% beween adacen spread levels. For example in a fracional price grid, all wholes are halves, all halves are quarers, all quarers are eighhs, all eighhs are sixeenhs, ec. However, his propery does no hold in general. In he decimal price grid under consideraion, all dollars are quarers, all dimes are nicels, and all nicels are pennies, bu quarers are differen. Two quarers are dimes ( 0.50,.00 ) and wo quarers are no dimes ( 0.5, 0.75 ). The laer wo quarers overlap wih nicels (wo spread layers down), bu no dimes (one spread layer down). Hence, here is a need for a relaively elaborae way of racing hese overlaps. Le be he number of price incremens for he h spread (,,, J) = K which overlap he price incremens of he h spread and do no overlap he price incremens of any spreads beween he h spread and he h spread. Similarly, le J +, be he number of overlapping midpoins for he h spread (,,, J) = K which overlap he midpoins of he h spread and do no overlap he

6 midpoins of any spreads beween he h spread and he h spread. and are disinc in wo ways. Firs, is he number of oal price incremens which overlap vs. in he number of special price incremens which overlap. Second, he coun excludes hose incremens which overlap he price incremens of any spreads beween he h spread and he h spread vs. he coun includes hose incremens. Table 3 summarizes he,, and variables for a sandard example of a decimal price grid. Table 3,, and for a ecimal Price Grid Corresponding Prices or Spread midpoins? 0.0 Prices Prices Prices 0 3, Prices 3, =, 3 = 5.00 Prices 5, 5, 53, 5 = Midpoins Midpoins Midpoins 0 0, Midpoins 9, 9 =, Midpoins 0,, 0,, 0,3, 0, Now consider he ' s for he prices. ll 0 nicels are also pennies and all 0 dimes are also nicels. f he quarers, are dimes and are nicels, bu no dimes. The single dollar is also a quarer. Finally consider, ' s for he midpoins. ll 0 of he odd nicels overlap wih odd pennies. None of he odd dimes overlap wih odd nicels or odd quarers overlap wih odd dimes, bu all of hem overlap wih odd pennies. None of he odd nicels. The odd dollar doesn overlap wih anyhing below.

7 Given all of he infrasrucure variables in Table 3, he general formula of he Effecive Tic model can be saed. The general formula for he unconsrained probabiliy of he h spread is U F J + + F J + = J + =, F F + F F =,3,, J = = K. (9) The res of he effecive ic compuaion is he same as he fracion grid case. To illusrae how a fracional price grid fis ino he general formula of he Effecive Tic model, consider a 6 price grid where he possible effecive spreads are 6,,,, and. Table shows he,, and variables for his fracional price grid. Table,, and for a Fracional Price Grid Corresponding Spread Prices or midpoins? 6 Prices 6 Prices = 3 Prices 3, 3 = Prices,, 3 = 5 Prices 5, 5, 53, 5 = 6 6 Midpoins Midpoins 7 Midpoins, 9 Midpoins 9, 9, 93 0 Midpoins 0,, 0,, 0,3, 0, Consider he coefficiens of equaion (9). From Table, i is clear ha = for =,, K, J, J =, and = for =,, K, J. (0) J

8 In fracional price grids, he price incremens exhibi 00% overlap beween adacen spread levels (i.e., all wholes are halves, all halves are quarers, all quarers are eighhs, ec.). This implies ha = for =- and for all < and for,3,, = K J. () In fracional price grids, he midpoin clusers exhibi 0% overlap beween adacen spread levels (i.e., no odd midpoins are odd midpoins, no odd midpoins are odd midpoins, no odd midpoins are odd 6 midpoins, ec.). This implies ha, for all and for =,3, K, J. () Subsiuing he fracional price grid coefficiens in equaions (0), (), and () ino he general Effecive Tic formula (9) yields he fracional Effecive Tic formula.

New Low-Frequency Spread Measures

New Low-Frequency Spread Measures New Low-Frequency Spread Measures Craig W. Holden Indiana Universiy May 009 Absrac I develop new spread proxies ha pick up on hree aribues of he low-frequency (daily) daa: () price clusering, () serial

More information

UCLA Department of Economics Fall PhD. Qualifying Exam in Macroeconomic Theory

UCLA Department of Economics Fall PhD. Qualifying Exam in Macroeconomic Theory UCLA Deparmen of Economics Fall 2016 PhD. Qualifying Exam in Macroeconomic Theory Insrucions: This exam consiss of hree pars, and you are o complee each par. Answer each par in a separae bluebook. All

More information

Dynamic Programming Applications. Capacity Expansion

Dynamic Programming Applications. Capacity Expansion Dynamic Programming Applicaions Capaciy Expansion Objecives To discuss he Capaciy Expansion Problem To explain and develop recursive equaions for boh backward approach and forward approach To demonsrae

More information

Systemic Risk Illustrated

Systemic Risk Illustrated Sysemic Risk Illusraed Jean-Pierre Fouque Li-Hsien Sun March 2, 22 Absrac We sudy he behavior of diffusions coupled hrough heir drifs in a way ha each componen mean-revers o he mean of he ensemble. In

More information

Reconciling Gross Output TFP Growth with Value Added TFP Growth

Reconciling Gross Output TFP Growth with Value Added TFP Growth Reconciling Gross Oupu TP Growh wih Value Added TP Growh Erwin Diewer Universiy of Briish Columbia and Universiy of New Souh Wales ABSTRACT This aricle obains relaively simple exac expressions ha relae

More information

Online Appendix to: Implementing Supply Routing Optimization in a Make-To-Order Manufacturing Network

Online Appendix to: Implementing Supply Routing Optimization in a Make-To-Order Manufacturing Network Online Appendix o: Implemening Supply Rouing Opimizaion in a Make-To-Order Manufacuring Nework A.1. Forecas Accuracy Sudy. July 29, 2008 Assuming a single locaion and par for now, his sudy can be described

More information

Rules for the EDHEC IEIF Commercial Property Index (France)

Rules for the EDHEC IEIF Commercial Property Index (France) Rules for he EDHEC IEIF Commercial Propery Index (France) May 2018 1 Summary 1 Index Composiion... 3 1.1 Index Definiion... 3 1.2 Index Universe... 3 2 Calculaion and Publicaion of he Index... 4 2.1 Calculaion

More information

2. Quantity and price measures in macroeconomic statistics 2.1. Long-run deflation? As typical price indexes, Figure 2-1 depicts the GDP deflator,

2. Quantity and price measures in macroeconomic statistics 2.1. Long-run deflation? As typical price indexes, Figure 2-1 depicts the GDP deflator, 1 2. Quaniy and price measures in macroeconomic saisics 2.1. Long-run deflaion? As ypical price indexes, Figure 2-1 depics he GD deflaor, he Consumer rice ndex (C), and he Corporae Goods rice ndex (CG)

More information

Bond Prices and Interest Rates

Bond Prices and Interest Rates Winer erm 1999 Bond rice Handou age 1 of 4 Bond rices and Ineres Raes A bond is an IOU. ha is, a bond is a promise o pay, in he fuure, fixed amouns ha are saed on he bond. he ineres rae ha a bond acually

More information

Non-Stationary Processes: Part IV. ARCH(m) (Autoregressive Conditional Heteroskedasticity) Models

Non-Stationary Processes: Part IV. ARCH(m) (Autoregressive Conditional Heteroskedasticity) Models Alber-Ludwigs Universiy Freiburg Deparmen of Economics Time Series Analysis, Summer 29 Dr. Sevap Kesel Non-Saionary Processes: Par IV ARCH(m) (Auoregressive Condiional Heeroskedasiciy) Models Saionary

More information

This specification describes the models that are used to forecast

This specification describes the models that are used to forecast PCE and CPI Inflaion Differenials: Convering Inflaion Forecass Model Specificaion By Craig S. Hakkio This specificaion describes he models ha are used o forecas he inflaion differenial. The 14 forecass

More information

Financial Econometrics Jeffrey R. Russell Midterm Winter 2011

Financial Econometrics Jeffrey R. Russell Midterm Winter 2011 Name Financial Economerics Jeffrey R. Russell Miderm Winer 2011 You have 2 hours o complee he exam. Use can use a calculaor. Try o fi all your work in he space provided. If you find you need more space

More information

MA Advanced Macro, 2016 (Karl Whelan) 1

MA Advanced Macro, 2016 (Karl Whelan) 1 MA Advanced Macro, 2016 (Karl Whelan) 1 The Calvo Model of Price Rigidiy The form of price rigidiy faced by he Calvo firm is as follows. Each period, only a random fracion (1 ) of firms are able o rese

More information

R e. Y R, X R, u e, and. Use the attached excel spreadsheets to

R e. Y R, X R, u e, and. Use the attached excel spreadsheets to HW # Saisical Financial Modeling ( P Theodossiou) 1 The following are annual reurns for US finance socks (F) and he S&P500 socks index (M) Year Reurn Finance Socks Reurn S&P500 Year Reurn Finance Socks

More information

Non-Traded Goods and Real Exchange Rate Volatility in a Two-Country DSGE Model

Non-Traded Goods and Real Exchange Rate Volatility in a Two-Country DSGE Model Inernaional Journal of Economics and Finance; Vol. 7, No. 2; 205 ISSN 96-97X E-ISSN 96-9728 Published by Canadian Cener of Science and Educaion Non-Traded Goods and Real Exchange Rae Volailiy in a Two-Counry

More information

The Mathematics Of Stock Option Valuation - Part Four Deriving The Black-Scholes Model Via Partial Differential Equations

The Mathematics Of Stock Option Valuation - Part Four Deriving The Black-Scholes Model Via Partial Differential Equations The Mahemaics Of Sock Opion Valuaion - Par Four Deriving The Black-Scholes Model Via Parial Differenial Equaions Gary Schurman, MBE, CFA Ocober 1 In Par One we explained why valuing a call opion as a sand-alone

More information

DEBT INSTRUMENTS AND MARKETS

DEBT INSTRUMENTS AND MARKETS DEBT INSTRUMENTS AND MARKETS Zeroes and Coupon Bonds Zeroes and Coupon Bonds Ouline and Suggesed Reading Ouline Zero-coupon bonds Coupon bonds Bond replicaion No-arbirage price relaionships Zero raes Buzzwords

More information

ECONOMIC GROWTH. Student Assessment. Macroeconomics II. Class 1

ECONOMIC GROWTH. Student Assessment. Macroeconomics II. Class 1 Suden Assessmen You will be graded on he basis of In-class aciviies (quizzes worh 30 poins) which can be replaced wih he number of marks from he regular uorial IF i is >=30 (capped a 30, i.e. marks from

More information

Erratic Price, Smooth Dividend. Variance Bounds. Present Value. Ex Post Rational Price. Standard and Poor s Composite Stock-Price Index

Erratic Price, Smooth Dividend. Variance Bounds. Present Value. Ex Post Rational Price. Standard and Poor s Composite Stock-Price Index Erraic Price, Smooh Dividend Shiller [1] argues ha he sock marke is inefficien: sock prices flucuae oo much. According o economic heory, he sock price should equal he presen value of expeced dividends.

More information

Appendix B: DETAILS ABOUT THE SIMULATION MODEL. contained in lookup tables that are all calculated on an auxiliary spreadsheet.

Appendix B: DETAILS ABOUT THE SIMULATION MODEL. contained in lookup tables that are all calculated on an auxiliary spreadsheet. Appendix B: DETAILS ABOUT THE SIMULATION MODEL The simulaion model is carried ou on one spreadshee and has five modules, four of which are conained in lookup ables ha are all calculaed on an auxiliary

More information

Finance Solutions to Problem Set #6: Demand Estimation and Forecasting

Finance Solutions to Problem Set #6: Demand Estimation and Forecasting Finance 30210 Soluions o Problem Se #6: Demand Esimaion and Forecasing 1) Consider he following regression for Ice Cream sales (in housands) as a funcion of price in dollars per pin. My daa is aken from

More information

Suggested Template for Rolling Schemes for inclusion in the future price regulation of Dublin Airport

Suggested Template for Rolling Schemes for inclusion in the future price regulation of Dublin Airport Suggesed Templae for Rolling Schemes for inclusion in he fuure price regulaion of Dublin Airpor. In line wih sandard inernaional regulaory pracice, he regime operaed since 00 by he Commission fixes in

More information

Technological progress breakthrough inventions. Dr hab. Joanna Siwińska-Gorzelak

Technological progress breakthrough inventions. Dr hab. Joanna Siwińska-Gorzelak Technological progress breakhrough invenions Dr hab. Joanna Siwińska-Gorzelak Inroducion Afer The Economis : Solow has shown, ha accumulaion of capial alone canno yield lasing progress. Wha can? Anyhing

More information

Synthetic CDO s and Basket Default Swaps in a Fixed Income Credit Portfolio

Synthetic CDO s and Basket Default Swaps in a Fixed Income Credit Portfolio Synheic CDO s and Baske Defaul Swaps in a Fixed Income Credi Porfolio Louis Sco June 2005 Credi Derivaive Producs CDO Noes Cash & Synheic CDO s, various ranches Invesmen Grade Corporae names, High Yield

More information

Unemployment and Phillips curve

Unemployment and Phillips curve Unemploymen and Phillips curve 2 of The Naural Rae of Unemploymen and he Phillips Curve Figure 1 Inflaion versus Unemploymen in he Unied Saes, 1900 o 1960 During he period 1900 o 1960 in he Unied Saes,

More information

Data Mining Anomaly Detection. Lecture Notes for Chapter 10. Introduction to Data Mining

Data Mining Anomaly Detection. Lecture Notes for Chapter 10. Introduction to Data Mining Daa Mining Anomaly Deecion Lecure Noes for Chaper 10 Inroducion o Daa Mining by Tan, Seinbach, Kumar Tan,Seinbach, Kumar Inroducion o Daa Mining 4/18/2004 1 Anomaly/Oulier Deecion Wha are anomalies/ouliers?

More information

Data Mining Anomaly Detection. Lecture Notes for Chapter 10. Introduction to Data Mining

Data Mining Anomaly Detection. Lecture Notes for Chapter 10. Introduction to Data Mining Daa Mining Anomaly Deecion Lecure Noes for Chaper 10 Inroducion o Daa Mining by Tan, Seinbach, Kumar Tan,Seinbach, Kumar Inroducion o Daa Mining 4/18/2004 1 Anomaly/Oulier Deecion Wha are anomalies/ouliers?

More information

CENTRO DE ESTUDIOS MONETARIOS Y FINANCIEROS T. J. KEHOE MACROECONOMICS I WINTER 2011 PROBLEM SET #6

CENTRO DE ESTUDIOS MONETARIOS Y FINANCIEROS T. J. KEHOE MACROECONOMICS I WINTER 2011 PROBLEM SET #6 CENTRO DE ESTUDIOS MONETARIOS Y FINANCIEROS T J KEHOE MACROECONOMICS I WINTER PROBLEM SET #6 This quesion requires you o apply he Hodrick-Presco filer o he ime series for macroeconomic variables for he

More information

Business Cycle Theory I (REAL)

Business Cycle Theory I (REAL) Business Cycle Theory I (REAL) I. Inroducion In his chaper we presen he business cycle heory of Kydland and Presco (1982), which has become known as Real Business Cycle heory. The real erm was coined because

More information

Problem Set 1 Answers. a. The computer is a final good produced and sold in Hence, 2006 GDP increases by $2,000.

Problem Set 1 Answers. a. The computer is a final good produced and sold in Hence, 2006 GDP increases by $2,000. Social Analysis 10 Spring 2006 Problem Se 1 Answers Quesion 1 a. The compuer is a final good produced and sold in 2006. Hence, 2006 GDP increases by $2,000. b. The bread is a final good sold in 2006. 2006

More information

SMALL MENU COSTS AND LARGE BUSINESS CYCLES: AN EXTENSION OF THE MANKIW MODEL

SMALL MENU COSTS AND LARGE BUSINESS CYCLES: AN EXTENSION OF THE MANKIW MODEL SMALL MENU COSTS AND LARGE BUSINESS CYCLES: AN EXTENSION OF THE MANKIW MODEL 2 Hiranya K. Nah, Sam Houson Sae Universiy Rober Srecher, Sam Houson Sae Universiy ABSTRACT Using a muli-period general equilibrium

More information

You should turn in (at least) FOUR bluebooks, one (or more, if needed) bluebook(s) for each question.

You should turn in (at least) FOUR bluebooks, one (or more, if needed) bluebook(s) for each question. UCLA Deparmen of Economics Spring 05 PhD. Qualifying Exam in Macroeconomic Theory Insrucions: This exam consiss of hree pars, and each par is worh 0 poins. Pars and have one quesion each, and Par 3 has

More information

Advanced Forecasting Techniques and Models: Time-Series Forecasts

Advanced Forecasting Techniques and Models: Time-Series Forecasts Advanced Forecasing Techniques and Models: Time-Series Forecass Shor Examples Series using Risk Simulaor For more informaion please visi: www.realopionsvaluaion.com or conac us a: admin@realopionsvaluaion.com

More information

Forecasting of Intermittent Demand Data in the Case of Medical Apparatus

Forecasting of Intermittent Demand Data in the Case of Medical Apparatus ISSN: 39-5967 ISO 900:008 Cerified Inernaional Journal of Engineering Science and Innovaive Technology (IJESIT) Volume 3, Issue, March 04 Forecasing of Inermien Demand Daa in he Case of Medical Apparaus

More information

Multiple Choice Questions Solutions are provided directly when you do the online tests.

Multiple Choice Questions Solutions are provided directly when you do the online tests. SOLUTIONS Muliple Choice Quesions Soluions are provided direcly when you do he online ess. Numerical Quesions 1. Nominal and Real GDP Suppose han an economy consiss of only 2 ypes of producs: compuers

More information

4452 Mathematical Modeling Lecture 17: Modeling of Data: Linear Regression

4452 Mathematical Modeling Lecture 17: Modeling of Data: Linear Regression Mah Modeling Lecure 17: Modeling of Daa: Linear Regression Page 1 5 Mahemaical Modeling Lecure 17: Modeling of Daa: Linear Regression Inroducion In modeling of daa, we are given a se of daa poins, and

More information

Models of Default Risk

Models of Default Risk Models of Defaul Risk Models of Defaul Risk 1/29 Inroducion We consider wo general approaches o modelling defaul risk, a risk characerizing almos all xed-income securiies. The srucural approach was developed

More information

A Note on Missing Data Effects on the Hausman (1978) Simultaneity Test:

A Note on Missing Data Effects on the Hausman (1978) Simultaneity Test: A Noe on Missing Daa Effecs on he Hausman (978) Simulaneiy Tes: Some Mone Carlo Resuls. Dikaios Tserkezos and Konsaninos P. Tsagarakis Deparmen of Economics, Universiy of Cree, Universiy Campus, 7400,

More information

Introduction. Enterprises and background. chapter

Introduction. Enterprises and background. chapter NACE: High-Growh Inroducion Enerprises and background 18 chaper High-Growh Enerprises 8 8.1 Definiion A variey of approaches can be considered as providing he basis for defining high-growh enerprises.

More information

Macroeconomics. Part 3 Macroeconomics of Financial Markets. Lecture 8 Investment: basic concepts

Macroeconomics. Part 3 Macroeconomics of Financial Markets. Lecture 8 Investment: basic concepts Macroeconomics Par 3 Macroeconomics of Financial Markes Lecure 8 Invesmen: basic conceps Moivaion General equilibrium Ramsey and OLG models have very simple assumpions ha invesmen ino producion capial

More information

Estimating Earnings Trend Using Unobserved Components Framework

Estimating Earnings Trend Using Unobserved Components Framework Esimaing Earnings Trend Using Unobserved Componens Framework Arabinda Basisha and Alexander Kurov College of Business and Economics, Wes Virginia Universiy December 008 Absrac Regressions using valuaion

More information

Effect of Probabilistic Backorder on an Inventory System with Selling Price Demand Under Volume Flexible Strategy

Effect of Probabilistic Backorder on an Inventory System with Selling Price Demand Under Volume Flexible Strategy Inernaional Transacions in Mahemaical Sciences and compuers July-December 0, Volume 5, No., pp. 97-04 ISSN-(Prining) 0974-5068, (Online) 0975-75 AACS. (www.aacsjournals.com) All righ reserved. Effec of

More information

Optimal Early Exercise of Vulnerable American Options

Optimal Early Exercise of Vulnerable American Options Opimal Early Exercise of Vulnerable American Opions March 15, 2008 This paper is preliminary and incomplee. Opimal Early Exercise of Vulnerable American Opions Absrac We analyze he effec of credi risk

More information

San Francisco State University ECON 560 Summer 2018 Problem set 3 Due Monday, July 23

San Francisco State University ECON 560 Summer 2018 Problem set 3 Due Monday, July 23 San Francisco Sae Universiy Michael Bar ECON 56 Summer 28 Problem se 3 Due Monday, July 23 Name Assignmen Rules. Homework assignmens mus be yped. For insrucions on how o ype equaions and mah objecs please

More information

1. (S09T3) John must pay Kristen 10,000 at the end of 1 year. He also must pay Ahmad 30,000 at the end of year 2.

1. (S09T3) John must pay Kristen 10,000 at the end of 1 year. He also must pay Ahmad 30,000 at the end of year 2. Chaper 9, Secion 1 1. (S09T3) John mus pay Krisen 10,000 a he end of 1 year. He also mus pay Ahmad 30,000 a he end of year 2. John wans o exacly mach his liabiliies by purchasing he following wo bonds:

More information

Stock Index Volatility: the case of IPSA

Stock Index Volatility: the case of IPSA MPRA Munich Personal RePEc Archive Sock Index Volailiy: he case of IPSA Rodrigo Alfaro and Carmen Gloria Silva 31. March 010 Online a hps://mpra.ub.uni-muenchen.de/5906/ MPRA Paper No. 5906, posed 18.

More information

Population growth and intra-specific competition in duckweed

Population growth and intra-specific competition in duckweed Populaion growh and inra-specific compeiion in duckweed We will use a species of floaing aquaic plan o invesigae principles of populaion growh and inra-specific compeiion, in oher words densiy-dependence.

More information

FORECASTING THE ROMANIAN GDP

FORECASTING THE ROMANIAN GDP 6. FORECASTING THE ROMANIAN GDP IN THE LONG RUN USING A MONETARY DSGE 1 Pere CARAIANI Absrac In his sudy, I esimae a moneary DSGE model using Bayesian echniques and I use he esimaed model o forecas he

More information

Matematisk statistik Tentamen: kl FMS170/MASM19 Prissättning av Derivattillgångar, 9 hp Lunds tekniska högskola. Solution.

Matematisk statistik Tentamen: kl FMS170/MASM19 Prissättning av Derivattillgångar, 9 hp Lunds tekniska högskola. Solution. Maemaisk saisik Tenamen: 8 5 8 kl 8 13 Maemaikcenrum FMS17/MASM19 Prissäning av Derivaillgångar, 9 hp Lunds ekniska högskola Soluion. 1. In he firs soluion we look a he dynamics of X using Iôs formula.

More information

A Method for Estimating the Change in Terminal Value Required to Increase IRR

A Method for Estimating the Change in Terminal Value Required to Increase IRR A Mehod for Esimaing he Change in Terminal Value Required o Increase IRR Ausin M. Long, III, MPA, CPA, JD * Alignmen Capial Group 11940 Jollyville Road Suie 330-N Ausin, TX 78759 512-506-8299 (Phone) 512-996-0970

More information

Alexander L. Baranovski, Carsten von Lieres and André Wilch 18. May 2009/Eurobanking 2009

Alexander L. Baranovski, Carsten von Lieres and André Wilch 18. May 2009/Eurobanking 2009 lexander L. Baranovski, Carsen von Lieres and ndré Wilch 8. May 2009/ Defaul inensiy model Pricing equaion for CDS conracs Defaul inensiy as soluion of a Volerra equaion of 2nd kind Comparison o common

More information

Tentamen i 5B1575 Finansiella Derivat. Måndag 27 augusti 2007 kl Answers and suggestions for solutions.

Tentamen i 5B1575 Finansiella Derivat. Måndag 27 augusti 2007 kl Answers and suggestions for solutions. Tenamen i 5B1575 Finansiella Deriva. Måndag 27 augusi 2007 kl. 14.00 19.00. Answers and suggesions for soluions. 1. (a) For he maringale probabiliies we have q 1 + r d u d 0.5 Using hem we obain he following

More information

IJRSS Volume 2, Issue 2 ISSN:

IJRSS Volume 2, Issue 2 ISSN: A LOGITIC BROWNIAN MOTION WITH A PRICE OF DIVIDEND YIELDING AET D. B. ODUOR ilas N. Onyango _ Absrac: In his paper, we have used he idea of Onyango (2003) he used o develop a logisic equaion used in naural

More information

Pricing FX Target Redemption Forward under. Regime Switching Model

Pricing FX Target Redemption Forward under. Regime Switching Model In. J. Conemp. Mah. Sciences, Vol. 8, 2013, no. 20, 987-991 HIKARI Ld, www.m-hikari.com hp://dx.doi.org/10.12988/ijcms.2013.311123 Pricing FX Targe Redempion Forward under Regime Swiching Model Ho-Seok

More information

STATIONERY REQUIREMENTS SPECIAL REQUIREMENTS 20 Page booklet List of statistical formulae New Cambridge Elementary Statistical Tables

STATIONERY REQUIREMENTS SPECIAL REQUIREMENTS 20 Page booklet List of statistical formulae New Cambridge Elementary Statistical Tables ECONOMICS RIPOS Par I Friday 7 June 005 9 Paper Quaniaive Mehods in Economics his exam comprises four secions. Secions A and B are on Mahemaics; Secions C and D are on Saisics. You should do he appropriae

More information

Brownian motion. Since σ is not random, we can conclude from Example sheet 3, Problem 1, that

Brownian motion. Since σ is not random, we can conclude from Example sheet 3, Problem 1, that Advanced Financial Models Example shee 4 - Michaelmas 8 Michael Tehranchi Problem. (Hull Whie exension of Black Scholes) Consider a marke wih consan ineres rae r and wih a sock price modelled as d = (µ

More information

Completing Markets in a One-Good, Pure Exchange Economy. Without State-Contingent Securities

Completing Markets in a One-Good, Pure Exchange Economy. Without State-Contingent Securities Compleing Markes in a One-Good, Pure Exchange Economy Wihou Sae-Coningen Securiies David M. Eagle Deparmen of Managemen, RVPT#3 College of Business Adminisraion Easern Washingon Universiy 668 N. Riverpoin

More information

FINAL EXAM EC26102: MONEY, BANKING AND FINANCIAL MARKETS MAY 11, 2004

FINAL EXAM EC26102: MONEY, BANKING AND FINANCIAL MARKETS MAY 11, 2004 FINAL EXAM EC26102: MONEY, BANKING AND FINANCIAL MARKETS MAY 11, 2004 This exam has 50 quesions on 14 pages. Before you begin, please check o make sure ha your copy has all 50 quesions and all 14 pages.

More information

Forward Contract Hedging with Contingent Portfolio Programming

Forward Contract Hedging with Contingent Portfolio Programming Forward Conrac Hedging wih Coningen Porfolio Programming Ma-.08 Independen research projecs in applied mahemaics Oso Manninen, 60036T, Tfy s Augus 006 Conens Inroducion... Forward Conracs... 3 3 Coningen

More information

Midterm Exam. Use the end of month price data for the S&P 500 index in the table below to answer the following questions.

Midterm Exam. Use the end of month price data for the S&P 500 index in the table below to answer the following questions. Universiy of Washingon Winer 00 Deparmen of Economics Eric Zivo Economics 483 Miderm Exam This is a closed book and closed noe exam. However, you are allowed one page of handwrien noes. Answer all quesions

More information

Final Exam Answers Exchange Rate Economics

Final Exam Answers Exchange Rate Economics Kiel Insiu für Welwirhschaf Advanced Sudies in Inernaional Economic Policy Research Spring 2005 Menzie D. Chinn Final Exam Answers Exchange Rae Economics This exam is 1 ½ hours long. Answer all quesions.

More information

Principles of Finance CONTENTS

Principles of Finance CONTENTS Principles of Finance CONENS Value of Bonds and Equiy... 3 Feaures of bonds... 3 Characerisics... 3 Socks and he sock marke... 4 Definiions:... 4 Valuing equiies... 4 Ne reurn... 4 idend discoun model...

More information

Valuation and Hedging of Correlation Swaps. Mats Draijer

Valuation and Hedging of Correlation Swaps. Mats Draijer Valuaion and Hedging of Correlaion Swaps Mas Draijer 4298829 Sepember 27, 2017 Absrac The aim of his hesis is o provide a formula for he value of a correlaion swap. To ge o his formula, a model from an

More information

EVA NOPAT Capital charges ( = WACC * Invested Capital) = EVA [1 P] each

EVA NOPAT Capital charges ( = WACC * Invested Capital) = EVA [1 P] each VBM Soluion skech SS 2012: Noe: This is a soluion skech, no a complee soluion. Disribuion of poins is no binding for he correcor. 1 EVA, free cash flow, and financial raios (45) 1.1 EVA wihou adjusmens

More information

Black-Scholes Model and Risk Neutral Pricing

Black-Scholes Model and Risk Neutral Pricing Inroducion echniques Exercises in Financial Mahemaics Lis 3 UiO-SK45 Soluions Hins Auumn 5 eacher: S Oriz-Laorre Black-Scholes Model Risk Neural Pricing See Benh s book: Exercise 44, page 37 See Benh s

More information

A Regime Switching Independent Component Analysis Method for Temporal Data

A Regime Switching Independent Component Analysis Method for Temporal Data Journal of Compuaions & Modelling, vol.2, no.1, 2012, 109-122 ISSN: 1792-7625 (prin), 1792-8850 (online) Inernaional Scienific Press, 2012 A Regime Swiching Independen Componen Analysis Mehod for Temporal

More information

Documentation: Philadelphia Fed's Real-Time Data Set for Macroeconomists First-, Second-, and Third-Release Values

Documentation: Philadelphia Fed's Real-Time Data Set for Macroeconomists First-, Second-, and Third-Release Values Documenaion: Philadelphia Fed's Real-Time Daa Se for Macroeconomiss Firs-, Second-, and Third-Release Values Las Updaed: December 16, 2013 1. Inroducion We documen our compuaional mehods for consrucing

More information

Subdivided Research on the Inflation-hedging Ability of Residential Property: A Case of Hong Kong

Subdivided Research on the Inflation-hedging Ability of Residential Property: A Case of Hong Kong Subdivided Research on he -hedging Abiliy of Residenial Propery: A Case of Hong Kong Guohua Huang 1, Haili Tu 2, Boyu Liu 3,* 1 Economics and Managemen School of Wuhan Universiy,Economics and Managemen

More information

Extended MAD for Real Option Valuation

Extended MAD for Real Option Valuation Exended MAD for Real Opion Valuaion A Case Sudy of Abandonmen Opion Carol Alexander Xi Chen Charles Ward Absrac This paper exends he markeed asse disclaimer approach for real opion valuaion. In sharp conras

More information

Stock Market Behaviour Around Profit Warning Announcements

Stock Market Behaviour Around Profit Warning Announcements Sock Marke Behaviour Around Profi Warning Announcemens Henryk Gurgul Conen 1. Moivaion 2. Review of exising evidence 3. Main conjecures 4. Daa and preliminary resuls 5. GARCH relaed mehodology 6. Empirical

More information

Financial Econometrics (FinMetrics02) Returns, Yields, Compounding, and Horizon

Financial Econometrics (FinMetrics02) Returns, Yields, Compounding, and Horizon Financial Economerics FinMerics02) Reurns, Yields, Compounding, and Horizon Nelson Mark Universiy of Nore Dame Fall 2017 Augus 30, 2017 1 Conceps o cover Yields o mauriy) Holding period) reurns Compounding

More information

ONLINE APPENDIX The Effect of Uncertainty on Investment: Evidence from Texas Oil Drilling by Ryan Kellogg

ONLINE APPENDIX The Effect of Uncertainty on Investment: Evidence from Texas Oil Drilling by Ryan Kellogg ONLINE APPENDIX The Effec of Uncerainy on Invesmen: Evidence from Texas Oil Drilling by Ryan Kellogg Appendix 1: Consrucion of he ime series of implied fuures price volaily This appendix describes how

More information

LIDSTONE IN THE CONTINUOUS CASE by. Ragnar Norberg

LIDSTONE IN THE CONTINUOUS CASE by. Ragnar Norberg LIDSTONE IN THE CONTINUOUS CASE by Ragnar Norberg Absrac A generalized version of he classical Lidsone heorem, which deals wih he dependency of reserves on echnical basis and conrac erms, is proved in

More information

Pricing Vulnerable American Options. April 16, Peter Klein. and. Jun (James) Yang. Simon Fraser University. Burnaby, B.C. V5A 1S6.

Pricing Vulnerable American Options. April 16, Peter Klein. and. Jun (James) Yang. Simon Fraser University. Burnaby, B.C. V5A 1S6. Pricing ulnerable American Opions April 16, 2007 Peer Klein and Jun (James) Yang imon Fraser Universiy Burnaby, B.C. 5A 16 pklein@sfu.ca (604) 268-7922 Pricing ulnerable American Opions Absrac We exend

More information

Mathematical methods for finance (preparatory course) Simple numerical examples on bond basics

Mathematical methods for finance (preparatory course) Simple numerical examples on bond basics Mahemaical mehods for finance (preparaory course) Simple numerical examples on bond basics . Yield o mauriy for a zero coupon bond = 99.45 = 92 days (=0.252 yrs) Face value = 00 r 365 00 00 92 99.45 2.22%

More information

An enduring question in macroeconomics: does monetary policy have any important effects on the real (i.e, real GDP, consumption, etc) economy?

An enduring question in macroeconomics: does monetary policy have any important effects on the real (i.e, real GDP, consumption, etc) economy? ONETARY OLICY IN THE INFINITE-ERIOD ECONOY: SHORT-RUN EFFECTS NOVEBER 6, 20 oneary olicy Analysis: Shor-Run Effecs IS ONETARY OLICY NEUTRAL? An enduring quesion in macroeconomics: does moneary policy have

More information

(1 + Nominal Yield) = (1 + Real Yield) (1 + Expected Inflation Rate) (1 + Inflation Risk Premium)

(1 + Nominal Yield) = (1 + Real Yield) (1 + Expected Inflation Rate) (1 + Inflation Risk Premium) 5. Inflaion-linked bonds Inflaion is an economic erm ha describes he general rise in prices of goods and services. As prices rise, a uni of money can buy less goods and services. Hence, inflaion is an

More information

A UNIFIED PDE MODELLING FOR CVA AND FVA

A UNIFIED PDE MODELLING FOR CVA AND FVA AWALEE A UNIFIED PDE MODELLING FOR CVA AND FVA By Dongli W JUNE 2016 EDITION AWALEE PRESENTATION Chaper 0 INTRODUCTION The recen finance crisis has released he counerpary risk in he valorizaion of he derivaives

More information

Monetary policy and multiple equilibria in a cash-in-advance economy

Monetary policy and multiple equilibria in a cash-in-advance economy Economics Leers 74 (2002) 65 70 www.elsevier.com/ locae/ econbase Moneary policy and muliple equilibria in a cash-in-advance economy Qinglai Meng* The Chinese Universiy of Hong Kong, Deparmen of Economics,

More information

Enumerating Up-Side Self- Avoiding Walks on Integer Lattices

Enumerating Up-Side Self- Avoiding Walks on Integer Lattices Enumeraing Up-Side Self- Avoiding Walks on Ineger Laices The Harvard communiy has made his aricle openly available. Please share how his access benefis you. Your sory maers Ciaion Williams, Lauren K. 1996.

More information

a. If Y is 1,000, M is 100, and the growth rate of nominal money is 1 percent, what must i and P be?

a. If Y is 1,000, M is 100, and the growth rate of nominal money is 1 percent, what must i and P be? Problem Se 4 ECN 101 Inermediae Macroeconomics SOLUTIONS Numerical Quesions 1. Assume ha he demand for real money balance (M/P) is M/P = 0.6-100i, where is naional income and i is he nominal ineres rae.

More information

FORECASTING WITH A LINEX LOSS: A MONTE CARLO STUDY

FORECASTING WITH A LINEX LOSS: A MONTE CARLO STUDY Proceedings of he 9h WSEAS Inernaional Conference on Applied Mahemaics, Isanbul, Turkey, May 7-9, 006 (pp63-67) FORECASTING WITH A LINEX LOSS: A MONTE CARLO STUDY Yasemin Ulu Deparmen of Economics American

More information

MEASURING EXPORT COMPETITIVENESS (MEC) DATABASE:

MEASURING EXPORT COMPETITIVENESS (MEC) DATABASE: MEASURING EXPORT COMPETITIVENESS (MEC) DATABASE: WHAT CAN WE LEARN ABOUT FRENCH COMPETITIVENESS AND THE GLOBAL CONTEXT? From a collaboraion beween Banquede France, World Bank Group, and Inernaional Trade

More information

1. (S09T3) John must pay Kristen 10,000 at the end of 1 year. He also must pay Ahmad 30,000 at the end of year 2.

1. (S09T3) John must pay Kristen 10,000 at the end of 1 year. He also must pay Ahmad 30,000 at the end of year 2. Chaper 9, Secion 1 1. (S09T3) John mus pay Krisen 10,000 a he end of 1 year. He also mus pay Ahmad 30,000 a he end of year. John wans o exacly mach his liabiliies by purchasing he following wo bonds: a.

More information

Rajiv Banker a,* Sudipta Basu a Dmitri Byzalov a Janice Y.S. Chen a

Rajiv Banker a,* Sudipta Basu a Dmitri Byzalov a Janice Y.S. Chen a Direcion of Sales Change and Asymmeric Timeliness of Earnings Rajiv Banker a,* Sudipa Basu a Dmiri Byzalov a Janice Y.S. Chen a a Fox School of Business, Temple Universiy, Aler Hall, Philadelphia, PA 19122,

More information

A Theory of Tax Effects on Economic Damages. Scott Gilbert Southern Illinois University Carbondale. Comments? Please send to

A Theory of Tax Effects on Economic Damages. Scott Gilbert Southern Illinois University Carbondale. Comments? Please send to A Theory of Tax Effecs on Economic Damages Sco Gilber Souhern Illinois Universiy Carbondale Commens? Please send o gilbers@siu.edu ovember 29, 2012 Absrac This noe provides a heoreical saemen abou he effec

More information

Misspecification in term structure models of commodity prices: Implications for hedging price risk

Misspecification in term structure models of commodity prices: Implications for hedging price risk 19h Inernaional Congress on Modelling and Simulaion, Perh, Ausralia, 12 16 December 2011 hp://mssanz.org.au/modsim2011 Misspecificaion in erm srucure models of commodiy prices: Implicaions for hedging

More information

Web Usage Patterns Using Association Rules and Markov Chains

Web Usage Patterns Using Association Rules and Markov Chains Web Usage Paerns Using Associaion Rules and Markov hains handrakasem Rajabha Universiy, Thailand amnas.cru@gmail.com Absrac - The objecive of his research is o illusrae he probabiliy of web page using

More information

Contributions to Macroeconomics

Contributions to Macroeconomics Conribuions o Macroeconomics Volume 6, Issue 26 Aricle Inflaion Ineria in Sicky Informaion Models Olivier Coibion Universiy of Michigan, OCOIBION@UMICH.EDU Copyrigh c 26 The Berkeley Elecronic Press. All

More information

An Analytical Implementation of the Hull and White Model

An Analytical Implementation of the Hull and White Model Dwigh Gran * and Gauam Vora ** Revised: February 8, & November, Do no quoe. Commens welcome. * Douglas M. Brown Professor of Finance, Anderson School of Managemen, Universiy of New Mexico, Albuquerque,

More information

A Robust Modification of the Goldfeld-Quandt Test for the Detection of Heteroscedasticity in the Presence of Outliers

A Robust Modification of the Goldfeld-Quandt Test for the Detection of Heteroscedasticity in the Presence of Outliers Journal of Mahemaics and Saisics 4 (4): 77-83, 8 ISSN 1549-3644 8 Science Publicaions A Robus Modificaion of he Goldfeld-Quand Tes for he Deecion of Heeroscedasiciy in he Presence of Ouliers 1 Md. Sohel

More information

Guide to the REX Indices

Guide to the REX Indices Guide o he REX Indices Version 3.12 Ocober 2017 Deusche Börse AG Version 3.12 Ocober 2017 Page 2 General Informaion In order o ensure he highes qualiy of each of is indices, Deusche Börse AG exercises

More information

MONOPOLISTIC COMPETITION IN A DSGE MODEL: PART II OCTOBER 20, 2015

MONOPOLISTIC COMPETITION IN A DSGE MODEL: PART II OCTOBER 20, 2015 MONOPOLISTIC COMPETITION IN A DSGE MODEL: PART II OCTOBER 20, 2015 Dixi-Sigliz Model BUILDING THE EQUILIBRIUM Puing hings ogeher impose symmery across all i 1 pz f ( k, n ) r k & 1 pz f ( k, n ) w n &

More information

Brownian Moving Averages and Applications Towards Interst Rate Modelling

Brownian Moving Averages and Applications Towards Interst Rate Modelling Daa and Observaions Brownian Moving Averages BMA-driven Vasicek-Model Lieraure Brownian Moving Averages and Applicaions Towards Iners Rae Modelling F. Hubalek, T. Blümmel Ocober 14, 2011 Daa and Observaions

More information

ANSWER ALL QUESTIONS. CHAPTERS 6-9; (Blanchard)

ANSWER ALL QUESTIONS. CHAPTERS 6-9; (Blanchard) ANSWER ALL QUESTIONS CHAPTERS 6-9; 18-20 (Blanchard) Quesion 1 Discuss in deail he following: a) The sacrifice raio b) Okun s law c) The neuraliy of money d) Bargaining power e) NAIRU f) Wage indexaion

More information

Nominal Rigidities, Asset Returns and Monetary Policy

Nominal Rigidities, Asset Returns and Monetary Policy Nominal Rigidiies, Asse Reurns and Moneary Policy Erica X.N. Li and Francisco Palomino November 4, 211 Absrac We sudy he asse pricing implicaions of price and wage rigidiies in a quaniaive general equilibrium

More information

Combining sign and long run parametric restrictions in a weak instrument case: Monetary policy and exchange rates. This Version: June 13, 2017.

Combining sign and long run parametric restrictions in a weak instrument case: Monetary policy and exchange rates. This Version: June 13, 2017. Combining sign and long run parameric resricions in a weak insrumen case: Moneary policy and exchange raes. This Version: June 3, 27. Absrac In a SVAR for four small open economies, sign resricions ogeher

More information

Financial Markets And Empirical Regularities An Introduction to Financial Econometrics

Financial Markets And Empirical Regularities An Introduction to Financial Econometrics Financial Markes And Empirical Regulariies An Inroducion o Financial Economerics SAMSI Workshop 11/18/05 Mike Aguilar UNC a Chapel Hill www.unc.edu/~maguilar 1 Ouline I. Hisorical Perspecive on Asse Prices

More information

Estimation of standard error of the parameter of change using simulations

Estimation of standard error of the parameter of change using simulations Esimaion of sandard error of he parameer of change using simulaions Djordje PETKOIC Saisical Offi ce of he Republic of Serbia ABSTRACT The main objecive of his paper is o presen he procedure for esimaing

More information

Kirk Hamilton and Giovanni Ruta Accounting price of an exhaustible resource: response and extensions

Kirk Hamilton and Giovanni Ruta Accounting price of an exhaustible resource: response and extensions Kirk Hamilon and Giovanni Rua Accouning price of an exhausible resource: response and exensions Aricle (Acceped version) (Refereed) Original ciaion: Hamilon, Kirk and Rua, Giovanni (2016) Accouning price

More information