Labor Cost and Sugarcane Mechanization in Florida: NPV and Real Options Approach

Size: px
Start display at page:

Download "Labor Cost and Sugarcane Mechanization in Florida: NPV and Real Options Approach"

Transcription

1 Labor Cos and Sugarcane Mechanizaion in Florida: NPV and Real Opions Approach Nobuyuki Iwai Rober D. Emerson Inernaional Agriculural Trade and Policy Cener Deparmen of Food and Resource Economics Universiy of Florida

2 Background Foreign workers in US agriculure " 77% of farm workers in " A leas 50% of farm workers are undocumened in (16%( , 38% in ) Wage gap Average prediced wages for auhorized, permanen residen, and ciizen worker are 10%, 18% and 14% higher han for unauhorized workers (Iwai e al. 2006).

3 Immigraion Policy Reform Increased border and domesic enforcemen, amnesy and gues worker programs Goal: legal labor force Concern ha he reform migh lead o labor cos increase in US ag. Need o sudy he impac of labor cos increase: Mechanizaion,, Terminaion (Emerson 2007)

4 Previous Sudies on Labor Cos and Sugarcane Mechanizaion Zepp and Clayon (1975) found cos advanage of mechanical harvesing operaion over hand- cu as early as 72-3 season. Reduced revenue due o large field losses wih mechanical harvesing, resuling in $40.70 lower ne reurns per acre in comparison o hand-cu. If projeced 74-5 machinery operaing raes had been used, he ne reurns per acre would have been abou equal (Zepp( 1975).

5 Problems Previous sudies calculaed and compared he cos and reurns from wo echnologies for a single individual season. Dynamic decision-making analysis ools ofen used in corporae finance: Ne presen value (NPV) approach, Real opions approach (ROA).

6 Objecive of Our Sudy Using NPV approach and ROA, we analyze he decision of he model sugarcane farmer (640 acres in oal and 408 acres harvesed) in Florida as o mechanizaion of harvesing for 72-3 season. Simulaion: We also compue he adopion hresholds for he labor cos ha should have riggered invesmen in mechanical harvesing for sugarcane in Florida. Implicaion for mechanical harvesing for cirus.

7 NPV Approach Compares discouned cash flow (DCF) less he invesmen cos of wo operaions. Imporan o forecas fuure free cash flow (FCF) given informaion when he decision is made. Also need o use appropriae discoun rae (Weighed Average Cos of Capial).

8 Esimaed FCF Esimaed FCF from growing and harvesing sugarcane for he model farm ($ per 404 acres harvesed) Season Revenue Labor cos Oher coss Operaing CF Depreciaion EBIT Tax on EBIT (29%) CAPEX FCF Hand cu harvesing , , , , , , , , , Mechanical harvesing , , , , , , , , , Calculaed from Zepp and Clayon (1975) and Walker (1972).

9 Forecasing Beyond 72-3 Season Previous sudies repored he revenue and cos esimae only for 72-3 season. Need o forecas for longer period for NPV and ROA. A common approach is he Mone Carlo simulaion in which all sochasic facors are generaed for fuure periods using he esimaed parameers and disribuions of hese series (Kobayashi 2003, Copeland and Anikarov 2003).

10 Esimaion of Sochasic Process We esimae sochasic process for yield, price, labor cos, and oher coss. We make saionary series by aking 1 s order difference of log of each series and subracing he mean of he 1 s order difference. Tes of independence beween yield and price and beween coss was rejeced.

11 Vecor Auoregressive Model Since independence hypohesis was rejeced, we esimae he VAR model for each combinaion. p is chosen ha minimizes he bias-correced version of he Akaike Informaion Crieria referred o as he AICC (Brockwell and Davis 2002): where L is likelihood funcion for bivariae normal disribuion, n is number of obs, and m=2 is number of variables.

12 VAR Resuls VAR Resuls " # $ % & + " # $ % & " # $ % & ' ' + " # $ % & " # $ % & ' ' + " # $ % & = " # $ % & ' ' ' ' 2 1 2,2 2,1 1,2 1, U U X X X X X X and AICC , 0 0 ~ where 2 1 = " # $ $ % & ' ( ) * +, - - ' ( ) * +, ' ( ) * +, WN U U For yield and price " # $ % & + " # $ % & = " # $ % & U U X X and AICC , 0 0 ~ where 2 1 = " # $ $ % & ' ( ) * +, - - ' ( ) * +, ' ( ) * +, WN U U For labor and oher cos

13 Mone Carlo Simulaion Using he esimaion resuls, we can generae fuure series as X ˆ ìˆ + Öˆ X + Öˆ X + U = whereu is a whie noise from esimaed disribuion. Since X is he change in he de-rended (mean-subraced) log of he original series, we can generae a sample of he original series by adding he rend, aking exponenial and muliply i o he previous value. Repeaing his nine imes for each vecor yields one sample of fuure nine-year pass for each variable. We generae 100,000 ses of he fuure pahs of sochasic facors wih which we calculae 100,000 ses of nine-year fuure FCF pahs for each operaion mode. The average of generaed FCF is given nex.

14 Mone Carlo Simulaion (coninued) Forecased FCF from growing and harvesing sugarcane afer 72-3 season ($) Hand cu 32, , , , , Mechanical 36, , , , , Hand cu 17, , , Mechanical 32, , , ,617.16

15 Weighed Average Cos of Capial Since FCF are available for paymen o boh sources of capial, deb and equiy, he discoun rae mus comprise a weighed average of he marginal coss of boh sources of capial (Copeland 1994). WACC is given by WACC = k (1 T ) b B B + S where k b is he preax marke expeced yield o mauriy on deb, T is he marginal ax rae, B is he value of ineresbearing deb, and S is he value of equiy, and k s is he marke-deermined opporuniy cos of equiy capial. From marke daa we have k b =8%, T=29%, B/(B+S)=12%, and ks=10.84% from CAPM, so ha WACC=10.23%. + k s B S + S

16 NPV Calculaion PV for year for <1982 is given as PV ( FCF# ) ( 1+ g) E( FCF1982) + # ) (1 + WACC ( WACC g) E (1 + WACC 1982 = " 1982 # = + 1 ) where he second erm is coninuing value afer he explici forecas period in which g is he expeced growh rae in FCF in perpeuiy. NPV for year simply adds FCF of ha year o PV: NPV = FCT + PV

17 NPV Calculaion Resul NPV and iniial invesmen cos for each operaion for season ($) NPV Iniial invesmen cos NPV inv. cos Hand cu harvesing 181, , Mechanical harvesing 319, , , NPV less iniial invesmen cos for mechanical operaion is more han NPV for hand cu operaion. NPV approach suggess ha he model farmer should have swiched o mechanical operaion even in 72-3 season.

18 NPV Calculaion Resul (coninued) NPV approach canno explain he fac ha only 15% of sugarcane was harvesed mechanically for 72-3 season. Esimaed % of mechanically harvesed sugarcane 120% 100% 80% % 60% 40% 20% 0% Year

19 Real Opions Approach ROA assumes ha he producer has he opion o inves or wai, called invesmen flexibiliy. However, once he producer makes an irreversible invesmen, he exercises he opion o inves and gives up he opion value of invesmen. Hence he producer does no inves unil he NPV less invesmen cos and opion value of invesmen opporuniy is greaer han he NPV for he curren operaion.

20 Consolidaed Approach Our case sudy has four sochasic facors (yield, price, labor cos and oher coss). We use he consolidaed approach (Copeland and Anikarov 2003), which combines many sochasic facors ino one hrough he Mone Carlo simulaion. The approach is based on he following heorem by Samuelson (1973): Regardless of he paern of cash flows expeced in he fuure, change in asse value is a random process so ha reurn is iid process, as long all he informaion abou he expeced fuure cash flows is already backed ino he curren value.

21 Consolidaed Approach (coninued) In consolidaed approach (Copeland and Anikarov 2003) annual rae of reurn (z( ) is an iid process. z = ( FCF + PV ) PV 1 PV Using he Mone Carlo simulaion resul, we calculae mean and volailiy (sandard deviaion) of z : mean=0.1023, volailiy= Copeland and Anikarov sugges assuming less-han- 15 years unil expiraion of opion. We assume 10 years unil expiraion.

22 Binomial Tree 4,084, , , , ,447 25,047 3,145, ,717 90,655 19,983 3,392 2,612 Binomial ree is build o approximae he PV ransiion (up o 81-2 season).

23 PV wih Opion Value The decision in each node for he final year is ( mech Max PV PV InvCos ), 1981, which yields 1,621,856 and 157,297 in each node. Then we muliply hese by (1+FCF rae). 167,827 30, ,982 28,490 4,836 4,870

24 PV wih Opion Value (coninued) The calculaion of PV wih opion value is done by risk neural probabiliy (or( replicaed porfolio) approach : The farmer creaes a hedge porfolio composed of one share of he curren operaion and a shor posiion of m unis of he invesmen opion and he curren operaion. Making appropriae he hedge raio (m),( he hedge porfolio can be made risk free, he non-arbirage principle requires ha he farmer has o earn he risk free rae from his porfolio. The formula of PV wih opion value for he node for 1980: Max C 1980 ( mech C, PV " InvCos ), = where (1 + r ) " e [ u d ( ) ][ ]" 1 f qc " q C rf and q = " e " e "

25 PV wih Opion Value (coninued) We repea hese seps for oher nodes of season 81-2 and 80-1, and up o season 72-3, and resul in he NPV 1972 wih OpValue 1972 = $357, Then he opion value is simply calculaed as: (NPV 1972 wih OpValue 1972 ) - NPV 1972 = $ 357, $181, = $176, = OpValue 1972.

26 Decision from ROA NPV, iniial invesmen cos and opion value for season ($) NPV Iniial Invesmen Cos Opion Value NPV Inv. Cos Op. Value Hand cu harvesing 181, , Mechanical harvesing 319, , , , NPV of mechanical operaion less iniial invesmen cos and opion value is less han NPV for hand cu operaion. ROA suggess ha he model farmer should no swich o mechanical operaion in 72-3 season.

27 Threshold Level Threshold labor cos assuming labor cos increases a he same rae for boh operaion ($) Labor cos Resuling NPV Iniial Invesmen Cos Resuling Opion Value Hand cu harvesing 90, (52.76% increase) -14, Mechanical harvesing 54, (52.76% increase) 181, , ,284.63

28 Conclusions Previous sudies found cos advanage of mechanical harvesing operaion over hand-cu as early as 72-3 season. The NPV approach suppors he views of previous sudies: NPV less iniial invesmen cos of mechanical operaion ($319,815) exceeds he NPV for hand cu operaion ($181,014).

29 Conclusions (coninues) Conclusion from ROA is opposie: Due o a high volailiy, he opion value of holding invesmen opporuniy is high ($176,166) enough o overurn he conclusion of NPV. Threshold value analysis shows ha i akes more han 52% increase in labor cos for immediae mechanizaion in 72-3 season. ROA explains beer he hisorical fac ha large scale mechanizaion was delayed unil mid/lae 80s (only 15% in 72-3 season).

30 Similar Siuaion of Mechanical Harvesing for Cirus Currenly, mechanically harvesing Florida oranges resuls in abou 16% cos-savings (25( cen per 90 pound box) relaive o hand harvesing, under ypical condiions (Roka 2008). Cos-savings sugges only wo year payback period for he grower s s invesmen in preparing he grove. Ye he adopion rae remains relaively low a abou only 7.5% of he acreage.

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

INSTITUTE OF ACTUARIES OF INDIA

INSTITUTE OF ACTUARIES OF INDIA INSIUE OF ACUARIES OF INDIA EAMINAIONS 23 rd May 2011 Subjec S6 Finance and Invesmen B ime allowed: hree hours (9.45* 13.00 Hrs) oal Marks: 100 INSRUCIONS O HE CANDIDAES 1. Please read he insrucions on

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

CURRENCY CHOICES IN VALUATION AND THE INTEREST PARITY AND PURCHASING POWER PARITY THEORIES DR. GUILLERMO L. DUMRAUF

CURRENCY CHOICES IN VALUATION AND THE INTEREST PARITY AND PURCHASING POWER PARITY THEORIES DR. GUILLERMO L. DUMRAUF CURRENCY CHOICES IN VALUATION AN THE INTEREST PARITY AN PURCHASING POWER PARITY THEORIES R. GUILLERMO L. UMRAUF TO VALUE THE INVESTMENT IN THE OMESTIC OR FOREIGN CURRENCY? Valuing an invesmen or an acquisiion

More information

Fundamental Basic. Fundamentals. Fundamental PV Principle. Time Value of Money. Fundamental. Chapter 2. How to Calculate Present Values

Fundamental Basic. Fundamentals. Fundamental PV Principle. Time Value of Money. Fundamental. Chapter 2. How to Calculate Present Values McGraw-Hill/Irwin Chaper 2 How o Calculae Presen Values Principles of Corporae Finance Tenh Ediion Slides by Mahew Will And Bo Sjö 22 Copyrigh 2 by he McGraw-Hill Companies, Inc. All righs reserved. Fundamenal

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

Ch. 10 Measuring FX Exposure. Is Exchange Rate Risk Relevant? MNCs Take on FX Risk

Ch. 10 Measuring FX Exposure. Is Exchange Rate Risk Relevant? MNCs Take on FX Risk Ch. 10 Measuring FX Exposure Topics Exchange Rae Risk: Relevan? Types of Exposure Transacion Exposure Economic Exposure Translaion Exposure Is Exchange Rae Risk Relevan?? Purchasing Power Pariy: Exchange

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

Corporate Finance. Capital budgeting. Standalone risk of capital project

Corporate Finance. Capital budgeting. Standalone risk of capital project Corporae Finance Capial budgeing Iniial oulay = FCInv + NWCInv Sal afer ax operaing cashflow = 0 + T ( Sal0 B0 ) ( R C)( 1 ax) + ax Ter min al year non opereaing cashflow = Sal T Dep + NWCInv ax ( Sal

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

Evaluating Projects under Uncertainty

Evaluating Projects under Uncertainty Evaluaing Projecs under Uncerainy March 17, 4 1 Projec risk = possible variaion in cash flows 2 1 Commonly used measure of projec risk is he variabiliy of he reurn 3 Mehods of dealing wih uncerainy in

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

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

Forecasting with Judgment

Forecasting with Judgment Forecasing wih Judgmen Simone Manganelli DG-Research European Cenral Bank Frankfur am Main, German) Disclaimer: he views expressed in his paper are our own and do no necessaril reflec he views of he ECB

More information

An Introduction to PAM Based Project Appraisal

An Introduction to PAM Based Project Appraisal Slide 1 An Inroducion o PAM Based Projec Appraisal Sco Pearson Sanford Universiy Sco Pearson is Professor of Agriculural Economics a he Food Research Insiue, Sanford Universiy. He has paricipaed in projecs

More information

VERIFICATION OF ECONOMIC EFFICIENCY OF LIGNITE DEPOSIT DEVELOPMENT USING THE SENSITIVITY ANALYSIS

VERIFICATION OF ECONOMIC EFFICIENCY OF LIGNITE DEPOSIT DEVELOPMENT USING THE SENSITIVITY ANALYSIS 1 Beaa TRZASKUŚ-ŻAK 1, Kazimierz CZOPEK 2 MG 3 1 Trzaskuś-Żak Beaa PhD. (corresponding auhor) AGH Universiy of Science and Technology Faculy of Mining and Geoengineering Al. Mickiewicza 30, 30-59 Krakow,

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

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

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

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

The macroeconomic effects of fiscal policy in Greece

The macroeconomic effects of fiscal policy in Greece The macroeconomic effecs of fiscal policy in Greece Dimiris Papageorgiou Economic Research Deparmen, Bank of Greece Naional and Kapodisrian Universiy of Ahens May 22, 23 Email: dpapag@aueb.gr, and DPapageorgiou@bankofgreece.gr.

More information

Valuing Real Options on Oil & Gas Exploration & Production Projects

Valuing Real Options on Oil & Gas Exploration & Production Projects Valuing Real Opions on Oil & Gas Exploraion & Producion Projecs March 2, 2006 Hideaka (Hugh) Nakaoka Former CIO & CCO of Iochu Oil Exploraion Co., Ld. Universiy of Tsukuba 1 Overview 1. Inroducion 2. Wha

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

Chapter Outline CHAPTER

Chapter Outline CHAPTER 8-0 8-1 Chaper Ouline CHAPTER 8 Sraegy and Analysis in Using Ne Presen Value 8.1 Decision Trees 8.2 Sensiiviy Analysis, Scenario Analysis, and Break-Even Analysis 8.3 Mone Carlo Simulaion 8. Opions 8.5

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

INSTITUTE OF ACTUARIES OF INDIA

INSTITUTE OF ACTUARIES OF INDIA INSTITUTE OF ACTUARIES OF INDIA EXAMINATIONS 05 h November 007 Subjec CT8 Financial Economics Time allowed: Three Hours (14.30 17.30 Hrs) Toal Marks: 100 INSTRUCTIONS TO THE CANDIDATES 1) Do no wrie your

More information

Economics 301 Fall Name. Answer all questions. Each sub-question is worth 7 points (except 4d).

Economics 301 Fall Name. Answer all questions. Each sub-question is worth 7 points (except 4d). Name Answer all quesions. Each sub-quesion is worh 7 poins (excep 4d). 1. (42 ps) The informaion below describes he curren sae of a growing closed economy. Producion funcion: α 1 Y = K ( Q N ) α Producion

More information

Extreme Risk Value and Dependence Structure of the China Securities Index 300

Extreme Risk Value and Dependence Structure of the China Securities Index 300 MPRA Munich Personal RePEc Archive Exreme Risk Value and Dependence Srucure of he China Securiies Index 300 Terence Tai Leung Chong and Yue Ding and Tianxiao Pang The Chinese Universiy of Hong Kong, The

More information

The Impact of Interest Rate Liberalization Announcement in China on the Market Value of Hong Kong Listed Chinese Commercial Banks

The Impact of Interest Rate Liberalization Announcement in China on the Market Value of Hong Kong Listed Chinese Commercial Banks Journal of Finance and Invesmen Analysis, vol. 2, no.3, 203, 35-39 ISSN: 224-0998 (prin version), 224-0996(online) Scienpress Ld, 203 The Impac of Ineres Rae Liberalizaion Announcemen in China on he Marke

More information

Option Valuation of Oil & Gas E&P Projects by Futures Term Structure Approach. Hidetaka (Hugh) Nakaoka

Option Valuation of Oil & Gas E&P Projects by Futures Term Structure Approach. Hidetaka (Hugh) Nakaoka Opion Valuaion of Oil & Gas E&P Projecs by Fuures Term Srucure Approach March 9, 2007 Hideaka (Hugh) Nakaoka Former CIO & CCO of Iochu Oil Exploraion Co., Ld. Universiy of Tsukuba 1 Overview 1. Inroducion

More information

Incorporating Risk Preferences into Real Options Models. Murat Isik

Incorporating Risk Preferences into Real Options Models. Murat Isik Incorporaing Risk Preferences ino Real Opions Models Mura Isik Assisan Professor Agriculural Economics and Rural Sociology Universiy of Idaho 8B Ag Science Building Moscow, ID 83844 Phone: 08-885-714 E-mail:

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

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

Origins of currency swaps

Origins of currency swaps Origins of currency swaps Currency swaps originally were developed by banks in he UK o help large cliens circumven UK exchange conrols in he 1970s. UK companies were required o pay an exchange equalizaion

More information

CHAPTER 3 How to Calculate Present Values. Answers to Practice Questions

CHAPTER 3 How to Calculate Present Values. Answers to Practice Questions CHAPTER 3 How o Calculae Presen Values Answers o Pracice Quesions. a. PV $00/.0 0 $90.53 b. PV $00/.3 0 $9.46 c. PV $00/.5 5 $ 3.5 d. PV $00/. + $00/. + $00/. 3 $40.8. a. DF + r 0.905 r 0.050 0.50% b.

More information

A pricing model for the Guaranteed Lifelong Withdrawal Benefit Option

A pricing model for the Guaranteed Lifelong Withdrawal Benefit Option A pricing model for he Guaraneed Lifelong Wihdrawal Benefi Opion Gabriella Piscopo Universià degli sudi di Napoli Federico II Diparimeno di Maemaica e Saisica Index Main References Survey of he Variable

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

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

Jarrow-Lando-Turnbull model

Jarrow-Lando-Turnbull model Jarrow-Lando-urnbull model Characerisics Credi raing dynamics is represened by a Markov chain. Defaul is modelled as he firs ime a coninuous ime Markov chain wih K saes hiing he absorbing sae K defaul

More information

Yield Curve Construction and Medium-Term Hedging in Countries with Underdeveloped Financial Markets

Yield Curve Construction and Medium-Term Hedging in Countries with Underdeveloped Financial Markets Local ineres rae risk approach Empirical resuls Supplemen Yield Curve Consrucion and Medium-Term Hedging in Counries wih Underdeveloped Financial Markes Model based pricing and valuaion M. Cincibuch 1

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

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

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

On the Impact of Inflation and Exchange Rate on Conditional Stock Market Volatility: A Re-Assessment

On the Impact of Inflation and Exchange Rate on Conditional Stock Market Volatility: A Re-Assessment MPRA Munich Personal RePEc Archive On he Impac of Inflaion and Exchange Rae on Condiional Sock Marke Volailiy: A Re-Assessmen OlaOluwa S Yaya and Olanrewaju I Shiu Deparmen of Saisics, Universiy of Ibadan,

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

Li Gan Guan Gong Michael Hurd. April, 2006

Li Gan Guan Gong Michael Hurd. April, 2006 Ne Inergeneraional Transfers from an Increase in Social Securiy Benefis Li Gan Guan Gong Michael Hurd April, 2006 ABSTRACT When he age of deah is uncerain, individuals will leave bequess even if hey have

More information

1. To express the production function in terms of output per worker and capital per worker, divide by N: K f N

1. To express the production function in terms of output per worker and capital per worker, divide by N: K f N THE LOG RU Exercise 8 The Solow Model Suppose an economy is characerized by he aggregae producion funcion / /, where is aggregae oupu, is capial and is employmen. Suppose furher ha aggregae saving is proporional

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

t=1 C t e δt, and the tc t v t i t=1 C t (1 + i) t = n tc t (1 + i) t C t (1 + i) t = C t vi

t=1 C t e δt, and the tc t v t i t=1 C t (1 + i) t = n tc t (1 + i) t C t (1 + i) t = C t vi Exam 4 is Th. April 24. You are allowed 13 shees of noes and a calculaor. ch. 7: 137) Unless old oherwise, duraion refers o Macaulay duraion. The duraion of a single cashflow is he ime remaining unil mauriy,

More information

Comparison of back-testing results for various VaR estimation methods. Aleš Kresta, ICSP 2013, Bergamo 8 th July, 2013

Comparison of back-testing results for various VaR estimation methods. Aleš Kresta, ICSP 2013, Bergamo 8 th July, 2013 Comparison of back-esing resuls for various VaR esimaion mehods, ICSP 3, Bergamo 8 h July, 3 THE MOTIVATION AND GOAL In order o esimae he risk of financial invesmens, i is crucial for all he models o esimae

More information

Introduction to Black-Scholes Model

Introduction to Black-Scholes Model 4 azuhisa Masuda All righs reserved. Inroducion o Black-choles Model Absrac azuhisa Masuda Deparmen of Economics he Graduae Cener, he Ciy Universiy of New York, 365 Fifh Avenue, New York, NY 6-439 Email:

More information

Hedging Performance of Indonesia Exchange Rate

Hedging Performance of Indonesia Exchange Rate Hedging Performance of Indonesia Exchange Rae By: Eneng Nur Hasanah Fakulas Ekonomi dan Bisnis-Manajemen, Universias Islam Bandung (Unisba) E-mail: enengnurhasanah@gmail.com ABSTRACT The flucuaion of exchange

More information

CHAPTER CHAPTER18. Openness in Goods. and Financial Markets. Openness in Goods, and Financial Markets. Openness in Goods,

CHAPTER CHAPTER18. Openness in Goods. and Financial Markets. Openness in Goods, and Financial Markets. Openness in Goods, Openness in Goods and Financial Markes CHAPTER CHAPTER18 Openness in Goods, and Openness has hree disinc dimensions: 1. Openness in goods markes. Free rade resricions include ariffs and quoas. 2. Openness

More information

Lecture: Autonomous Financing and Financing Based on Market Values I

Lecture: Autonomous Financing and Financing Based on Market Values I Lecure: Auonomous Financing and Financing Based on Marke Values I Luz Kruschwiz & Andreas Löffler Discouned Cash Flow, Secion 2.3, 2.4.1 2.4.3, Ouline 2.3 Auonomous financing 2.4 Financing based on marke

More information

Description of the CBOE Russell 2000 BuyWrite Index (BXR SM )

Description of the CBOE Russell 2000 BuyWrite Index (BXR SM ) Descripion of he CBOE Russell 2000 BuyWrie Index (BXR SM ) Inroducion. The CBOE Russell 2000 BuyWrie Index (BXR SM ) is a benchmark index designed o rack he performance of a hypoheical a-he-money buy-wrie

More information

GUIDELINE Solactive Bitcoin Front Month Rolling Futures 5D Index ER. Version 1.0 dated December 8 th, 2017

GUIDELINE Solactive Bitcoin Front Month Rolling Futures 5D Index ER. Version 1.0 dated December 8 th, 2017 GUIDELINE Solacive Bicoin Fron Monh Rolling Fuures 5D Index ER Version 1.0 daed December 8 h, 2017 Conens Inroducion 1 Index specificaions 1.1 Shor name and ISIN 1.2 Iniial value 1.3 Disribuion 1.4 Prices

More information

1. Interest Rate Gap. Duration

1. Interest Rate Gap. Duration . Ineres Rae Gap. Duraion Mauriy Gap Problem. Mauriy Gap A bank invess $00 million in 3-year, 0% fixed rae bonds (assume hese are all asses) In he same ime, i issuses $90 million in -year, 0% percen fixed

More information

May 2007 Exam MFE Solutions 1. Answer = (B)

May 2007 Exam MFE Solutions 1. Answer = (B) May 007 Exam MFE Soluions. Answer = (B) Le D = he quarerly dividend. Using formula (9.), pu-call pariy adjused for deerminisic dividends, we have 0.0 0.05 0.03 4.50 =.45 + 5.00 D e D e 50 e = 54.45 D (

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

An Incentive-Based, Multi-Period Decision Model for Hierarchical Systems

An Incentive-Based, Multi-Period Decision Model for Hierarchical Systems Wernz C. and Deshmukh A. An Incenive-Based Muli-Period Decision Model for Hierarchical Sysems Proceedings of he 3 rd Inernaional Conference on Global Inerdependence and Decision Sciences (ICGIDS) pp. 84-88

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

An Analysis of Trend and Sources of Deficit Financing in Nepal

An Analysis of Trend and Sources of Deficit Financing in Nepal Economic Lieraure, Vol. XII (8-16), December 014 An Analysis of Trend and Sources of Defici Financing in Nepal Deo Narayan Suihar ABSTRACT Defici financing has emerged as an imporan ool of financing governmen

More information

CHAPTER CHAPTER26. Fiscal Policy: A Summing Up. Prepared by: Fernando Quijano and Yvonn Quijano

CHAPTER CHAPTER26. Fiscal Policy: A Summing Up. Prepared by: Fernando Quijano and Yvonn Quijano Fiscal Policy: A Summing Up Prepared by: Fernando Quijano and vonn Quijano CHAPTER CHAPTER26 2006 Prenice Hall usiness Publishing Macroeconomics, 4/e Olivier lanchard Chaper 26: Fiscal Policy: A Summing

More information

FADS VERSUS FUNDAMENTALS IN FARMLAND PRICES

FADS VERSUS FUNDAMENTALS IN FARMLAND PRICES FADS VERSUS FUNDAMENTALS IN FARMLAND PRICES Barry Falk* Associae Professor of Economics Deparmen of Economics Iowa Sae Universiy Ames, IA 50011-1070 and Bong-Soo Lee Assisan Professor of Finance Deparmen

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

Online Appendix. Using the reduced-form model notation proposed by Doshi, el al. (2013), 1. and Et

Online Appendix. Using the reduced-form model notation proposed by Doshi, el al. (2013), 1. and Et Online Appendix Appendix A: The concep in a muliperiod framework Using he reduced-form model noaion proposed by Doshi, el al. (2013), 1 he yearly CDS spread S c,h for a h-year sovereign c CDS conrac can

More information

Barry J. Barnett. Department of Agricultural Economics USA

Barry J. Barnett. Department of Agricultural Economics USA Risk Financing Mechanisms An Overview of Conceps and da Approaches Barry J. Barne Deparmen of Agriculural Economics Mississippi Sae Universiy USA Climae Change Climae change is expeced o change he cenral

More information

Hull-White one factor model Version

Hull-White one factor model Version Hull-Whie one facor model Version 1.0.17 1 Inroducion This plug-in implemens Hull and Whie one facor models. reference on his model see [?]. For a general 2 How o use he plug-in In he Fairma user inerface

More information

International Review of Business Research Papers Vol. 4 No.3 June 2008 Pp Understanding Cross-Sectional Stock Returns: What Really Matters?

International Review of Business Research Papers Vol. 4 No.3 June 2008 Pp Understanding Cross-Sectional Stock Returns: What Really Matters? Inernaional Review of Business Research Papers Vol. 4 No.3 June 2008 Pp.256-268 Undersanding Cross-Secional Sock Reurns: Wha Really Maers? Yong Wang We run a horse race among eigh proposed facors and eigh

More information

Volatility and Hedging Errors

Volatility and Hedging Errors Volailiy and Hedging Errors Jim Gaheral Sepember, 5 1999 Background Derivaive porfolio bookrunners ofen complain ha hedging a marke-implied volailiies is sub-opimal relaive o hedging a heir bes guess of

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

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

Description of the CBOE S&P 500 2% OTM BuyWrite Index (BXY SM )

Description of the CBOE S&P 500 2% OTM BuyWrite Index (BXY SM ) Descripion of he CBOE S&P 500 2% OTM BuyWrie Index (BXY SM ) Inroducion. The CBOE S&P 500 2% OTM BuyWrie Index (BXY SM ) is a benchmark index designed o rack he performance of a hypoheical 2% ou-of-he-money

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

How Risky is Electricity Generation?

How Risky is Electricity Generation? How Risky is Elecriciy Generaion? Tom Parkinson The NorhBridge Group Inernaional Associaion for Energy Economics New England Chaper 19 January 2005 19 January 2005 The NorhBridge Group Agenda Generaion

More information

Inventory Investment. Investment Decision and Expected Profit. Lecture 5

Inventory Investment. Investment Decision and Expected Profit. Lecture 5 Invenory Invesmen. Invesmen Decision and Expeced Profi Lecure 5 Invenory Accumulaion 1. Invenory socks 1) Changes in invenory holdings represen an imporan and highly volaile ype of invesmen spending. 2)

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

The Effect of Open Market Repurchase on Company s Value

The Effect of Open Market Repurchase on Company s Value The Effec of Open Marke Repurchase on Company s Value Xu Fengju Wang Feng School of Managemen, Wuhan Universiy of Technology, Wuhan, P.R.China, 437 (E-mail:xfju@63.com, wangf9@63.com) Absrac This paper

More information

Balance of Payments. Third quarter 2009

Balance of Payments. Third quarter 2009 Balance of Paymens Third quarer 2009 Balance of Paymens Third quarer 2009 Saisics Sweden 2009 Balance of Paymens. Third quarer 2009 Saisics Sweden 2009 Producer Saisics Sweden, Balance of Paymens and

More information

National saving and Fiscal Policy in South Africa: an Empirical Analysis. by Lumengo Bonga-Bonga University of Johannesburg

National saving and Fiscal Policy in South Africa: an Empirical Analysis. by Lumengo Bonga-Bonga University of Johannesburg Naional saving and Fiscal Policy in Souh Africa: an Empirical Analysis by Lumengo Bonga-Bonga Universiy of Johannesburg Inroducion A paricularly imporan issue in Souh Africa is he exen o which fiscal policy

More information

Analyzing Surplus Appropriation Schemes in Participating Life Insurance from the Insurer s and the Policyholder s Perspective

Analyzing Surplus Appropriation Schemes in Participating Life Insurance from the Insurer s and the Policyholder s Perspective Analyzing Surplus Appropriaion Schemes in Paricipaing Life Insurance from he Insurer s and he Policyholder s Perspecive AFIR Colloquium Madrid, Spain June 22, 2 Alexander Bohner and Nadine Gazer Universiy

More information

Capital Strength and Bank Profitability

Capital Strength and Bank Profitability Capial Srengh and Bank Profiabiliy Seok Weon Lee 1 Asian Social Science; Vol. 11, No. 10; 2015 ISSN 1911-2017 E-ISSN 1911-2025 Published by Canadian Cener of Science and Educaion 1 Division of Inernaional

More information

Optimal Tax-Timing and Asset Allocation when Tax Rebates on Capital Losses are Limited

Optimal Tax-Timing and Asset Allocation when Tax Rebates on Capital Losses are Limited Opimal Tax-Timing and Asse Allocaion when Tax Rebaes on Capial Losses are Limied Marcel Marekwica This version: January 15, 2007 Absrac Since Consaninides (1983) i is well known ha in a marke where capial

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

Liquidity and hedging effectiveness under futures mispricing: international evidence. A. Andani *, J.A. Lafuente **, A. Novales *** December 2008

Liquidity and hedging effectiveness under futures mispricing: international evidence. A. Andani *, J.A. Lafuente **, A. Novales *** December 2008 Liquidiy and hedging effeciveness under fuures mispricing: inernaional evidence A. Andani *, J.A. Lafuene **, A. Novales *** December 2008 Absrac: We analyze he hedging effeciveness of posiions ha replicae

More information

Single Premium of Equity-Linked with CRR and CIR Binomial Tree

Single Premium of Equity-Linked with CRR and CIR Binomial Tree The 7h SEAMS-UGM Conference 2015 Single Premium of Equiy-Linked wih CRR and CIR Binomial Tree Yunia Wulan Sari 1,a) and Gunardi 2,b) 1,2 Deparmen of Mahemaics, Faculy of Mahemaics and Naural Sciences,

More information

INSTITUTE OF ACTUARIES OF INDIA

INSTITUTE OF ACTUARIES OF INDIA INSTITUTE OF ACTUARIES OF INDIA EXAMINATIONS 9 h November 2010 Subjec CT6 Saisical Mehods Time allowed: Three Hours (10.00 13.00 Hrs.) Toal Marks: 100 INSTRUCTIONS TO THE CANDIDATES 1. Please read he insrucions

More information

TAX SMOOTHING: TESTS ON INDONESIAN DATA

TAX SMOOTHING: TESTS ON INDONESIAN DATA TAX SMOOTHING: TESTS ON INDONESIAN DATA Rudi Kurniawan Deparmen of Economics Macquarie Universiy Macquarie Park, Sydney NSW 3 Ausralia rudi.kurniawan@mq.edu.au Absrac This paper conribues o he lieraure

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

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

Modeling Volatility of Exchange Rate of Chinese Yuan against US Dollar Based on GARCH Models

Modeling Volatility of Exchange Rate of Chinese Yuan against US Dollar Based on GARCH Models 013 Sixh Inernaional Conference on Business Inelligence and Financial Engineering Modeling Volailiy of Exchange Rae of Chinese Yuan agains US Dollar Based on GARCH Models Marggie Ma DBA Program Ciy Universiy

More information

A DYNAMIC THEORY OF FISHERIES INVESTMENT. Keywords: Fisheries investment, discounting, Clark-Munro rule, fisheries transition.

A DYNAMIC THEORY OF FISHERIES INVESTMENT. Keywords: Fisheries investment, discounting, Clark-Munro rule, fisheries transition. FISHERIES AND AQUACULTURE Vol. V A Dynamic Theory of Fisheries Invesmen Ola Flaaen A DYNAMIC THEORY OF FISHERIES INVESTMENT Ola Flaaen Universiy of Tromsø, N937 Tromsø, Norway Keywords: Fisheries invesmen,

More information

Watch out for the impact of Scottish independence opinion polls on UK s borrowing costs

Watch out for the impact of Scottish independence opinion polls on UK s borrowing costs Wach ou for he impac of Scoish independence opinion polls on UK s borrowing coss Cosas Milas (Universiy of Liverpool; email: cosas.milas@liverpool.ac.uk) and Tim Worrall (Universiy of Edinburgh; email:

More information

DOES EVA REALLY HELP LONG TERM STOCK PERFORMANCE?

DOES EVA REALLY HELP LONG TERM STOCK PERFORMANCE? DOES EVA REALLY HELP LONG TERM STOCK PERFORMANCE? Wesley M. Jones, Jr. The Ciadel wes.jones@ciadel.edu George Lowry, Randolph Macon College glowry@rmc.edu ABSTRACT Economic Value Added (EVA) as a philosophy

More information

A Simple Method for Consumers to Address Uncertainty When Purchasing Photovoltaics

A Simple Method for Consumers to Address Uncertainty When Purchasing Photovoltaics A Simple Mehod for Consumers o Address Uncerainy When Purchasing Phoovolaics Dr. Thomas E. Hoff Clean Power Research 10 Glen C. Napa, CA 94558 www.clean-power.com Dr. Rober Margolis Naional Renewable Energy

More information

The Economic Impact of the Proposed Gasoline Tax Cut In Connecticut

The Economic Impact of the Proposed Gasoline Tax Cut In Connecticut The Economic Impac of he Proposed Gasoline Tax Cu In Connecicu By Hemana Shresha, Research Assisan Bobur Alimov, Research Assisan Sanley McMillen, Manager, Research Projecs June 21, 2000 CONNECTICUT CENTER

More information

Loss Functions in Option Valuation: A Framework for Model Selection

Loss Functions in Option Valuation: A Framework for Model Selection Loss Funcions in Opion Valuaion: A Framework for Model Selecion Dennis Bams, Thorsen Lehner, Chrisian C.P. Wolff * Limburg Insiue of Financial Economics (LIFE), Maasrich Universiy, P.O. Box 616, 600 MD

More information

1 Purpose of the paper

1 Purpose of the paper Moneary Economics 2 F.C. Bagliano - Sepember 2017 Noes on: F.X. Diebold and C. Li, Forecasing he erm srucure of governmen bond yields, Journal of Economerics, 2006 1 Purpose of he paper The paper presens

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

Session IX: Special topics

Session IX: Special topics Session IX: Special opics 2. Subnaional populaion projecions 10 March 2016 Cheryl Sawyer, Lina Bassarsky Populaion Esimaes and Projecions Secion www.unpopulaion.org Maerials adaped from Unied Naions Naional

More information