Evaluating Natural Resource Investments: A Dynamic Option Simulation Approach Chung-Gee Lin Dept. of Business Mathematics Soochow University, Taiwan 2004.

Slides:



Advertisements
Similar presentations
Overview of Quantitative Finance and Risk Management Research By Dr. Cheng-Few Lee Distinguished Professor, Rutgers University, USA Distinguished Professor,
Advertisements

Real Options & Business Decision Making John Curtis.
Slides prepared by Timothy I. Matis for SpringSim’06, April 4, 2006 Estimating Rare Event Probabilities Using Truncated Saddlepoint Approximations Timothy.
1 Rules of Thumb in Real Options Applications George Y. Wang National Dong-Hwa University 2004 NTU Conference on Finance December 20, 2004.
1 Bounds For Treasury Bond Futures Prices and Delivery Options Ren-Raw Chen and Shih-Kuo Yeh Comment by: San-Lin Chung Department of Finance, The Management.
Risk Management and Operations Solutions Derivative Pricing for Risk Calculations – Challenges and Approaches Research Workshop.
Chap 8 A Four-Step Process for Valuing Real Options.
Richard de Neufville © Michael Benouaich Slide 1 of 16 Massachusetts Institute of Technology Engineering System Analysis for Design Valuation with Simulation.
FINA 522: Project Finance and Risk Analysis Lecture 12 Updated: 19 May 2007.
Investment Management Impact on performance managers Presenter: Mark Heath B.Bus CPA MAIPM Office: Mobile:
Chapter 10 Project Analysis
Andrey Itkin, Math Selected Topics in Applied Mathematics – Computational Finance Andrey Itkin Course web page
Module F: Simulation. Introduction What: Simulation Where: To duplicate the features, appearance, and characteristics of a real system Why: To estimate.
FIN 685: Risk Management Topic 5: Simulation Larry Schrenk, Instructor.
AILEEN WANG PERIOD 5 An Analysis of Dynamic Applications of Black-Scholes.
03 July 2015Course Overview1 Energy Project Evaluation RES Course ESP606 Goal: To build up knowledge to so that participants will be able to assess if.
V OLATILITY E STIMATION FOR S TOCHASTIC P ROJECT V ALUE M ODELS Luiz E. Brandão IAG Business School, Pontifícia Universidade Católica do Rio de Janeiro.
1 Optimal Timing of Relocation José Azevedo-Pereira Department of Management, and CIEF, ISEG, Portugal Gualter Couto Department of.
Hedge with an Edge An Introduction to the Mathematics of Finance Riaz Ahmed & Adnan Khan Lahore Uviersity of Management Sciences Monte Carlo Methods.
Supported by Workshop on Stochastic Analysis and Computational Finance, November 2005 Imperial College (London) G.N. Milstein and M.V. Tretyakov Numerical.
Real Options Introduction to Real Options Prof. Luiz Brandão 2009.
Academy of Economic Studies, Bucharest Doctoral School of Finance and Banking Dissertation Thesis: July 2001 Supervisor: Professor Moisa Altar Real Options-
Practical analysis and valuation of heterogeneous telecom services Case-based analysis.
14b.1 Van Horne and Wachowicz, Fundamentals of Financial Management, 13th edition. © Pearson Education Limited Created by Gregory Kuhlemeyer. Chapter.
© 2003 The McGraw-Hill Companies, Inc. All rights reserved. Project Analysis and Evaluation Chapter Eleven Prepared by Anne Inglis, Ryerson University.
1 Practical Problems in Capital Budgeting Lecture 3 Fall 2010 Advanced Corporate Finance FINA 7330 Ronald F. Singer.
Basics of the Monte Carlo Method with Application to System Reliability Marzio Marseguerra, Enrico Zio Monte Carlo simulation, thanks to the great development.
Presentation Ling Zhang Date: Framework of the method 1 Using Distribution Fitting for Assumptions 2 monte – carlo simulation 3 compare different.
IIASA Yuri Ermoliev International Institute for Applied Systems Analysis Mathematical methods for robust solutions.
RNGs in options pricing Presented by Yu Zhang. Outline Options  What is option?  Kinds of options  Why options? Options pricing Models Monte Carlo.
Chapter 10 Principles of Corporate Finance Eighth Edition A Project is Not A Black Box Slides by Matthew Will Copyright © 2006 by The McGraw-Hill Companies,
Advanced Geostatistics, Simulations and Environmental Applications Roussos Dimitrakopoulos Dept of Mining and Materials Engineering McGill University,
Static Hedging of American Barrier Options and Applications San-Lin Chung, Pai-Ta Shih and Wei-Che Tsai Presenter: Wei-Che Tsai 1 National Taiwan.
12-1 Capital Budgeting and Financial Planning LECTURE 22 Course Instructor: M. Jibran Sheikh.
Stochastic Linear Programming by Series of Monte-Carlo Estimators Leonidas SAKALAUSKAS Institute of Mathematics&Informatics Vilnius, Lithuania
Book Review: ‘Energy Derivatives: Pricing and Risk Management’ by Clewlow and Strickland, 2000 Anatoliy Swishchuk Math & Comp Lab Dept of Math & Stat,
Aileen Wang Period 5 An Analysis of Dynamic Applications of Black-Scholes.
Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Risk Analysis, Real Options, and Capital Budgeting Chapter 9.
Financial Mathematics. In finance, a hedge is an investment that is taken out specifically to reduce or cancel out the risk in another investment.financerisk.
Outline of Chapter 9: Using Simulation to Solve Decision Problems Real world decisions are often too complex to be analyzed effectively using influence.
A Cursory Introduction to Real Options Andrew Brown 5/2/02.
Monté Carlo Simulation  Understand the concept of Monté Carlo Simulation  Learn how to use Monté Carlo Simulation to make good decisions  Learn how.
Lecture 1: Introduction to QF4102 Financial Modeling
Monte-Carlo Simulation. Mathematical basis The discounted price is a martingale (MA4257 and MA5248).
Click to edit Master title style Corporate Financial Management II (#4)
Aileen Wang Period 5 An Analysis of Dynamic Applications of Black-Scholes.
Fang-Bo Yeh, Dept. of Mathematics, Tunghai Univ.2004.Jun.29 1 Financial Derivatives The Mathematics Fang-Bo Yeh Mathematics Department System and Control.
Lecture 03.0 Project analysis Copyright © 2006 by The McGraw-Hill Companies, Inc. All rights reserved McGraw-Hill/Irwin.
Static Hedging and Pricing American Exotic Options San-Lin Chung, Pai-Ta Shih*, and Wei-Che Tsai Presenter: Pai-Ta Shih National Taiwan University 1.
Engineering Economy, Sixteenth Edition Sullivan | Wicks | Koelling Copyright ©2015, 2012, 2009 by Pearson Education, Inc. All rights reserved. EXAMPLE.
Richard de Neufville © Michael Benouaich Slide 1 of 16 Massachusetts Institute of Technology Engineering System Analysis for Design Valuation with Simulation.
FIN 614: Financial Management Larry Schrenk, Instructor.
Applications of Stochastic Processes in Asset Price Modeling Preetam D’Souza.
Real Options Valuation of a Power Generation Project: A Monte Carlo Approach Bruno Merven ( 1 ), Ronald Becker (2) ( 1 )Energy Research Centre-University.
THE REAL COSTS OF US STRATEGIC PETROLEUM RESERVES MARKET VALUATION
DSM financial cost and modelling
Project Analysis Slides by Matthew Will.
Joe Mahoney University of Illinois at Urbana-Champaign
High-accuracy PDE Method for Financial Derivative Pricing Shan Zhao and G. W. Wei Department of Computational Science National University of Singapore,
Puttable Bond and Vaulation Dmitry Popov FinPricing
Joe Mahoney University of Illinois at Urbana-Champaign
Joe Mahoney University of Illinois at Urbana-Champaign
By Harsh Tiwari.
Numerical Methods in Finance
Joe Mahoney University of Illinois at Urbana-Champaign
Joe Mahoney University of Illinois at Urbana-Champaign
M.PHIL (MATHEMATICS) By Munir Hussain Supervised By Dr. Muhammad Sabir.
ประกาศกระทรวงอุตสาหกรรม ฉบับที่ 5292 (พ.ศ. 2562)
Presentation transcript:

Evaluating Natural Resource Investments: A Dynamic Option Simulation Approach Chung-Gee Lin Dept. of Business Mathematics Soochow University, Taiwan 2004 NTU International Conference on Finance

1. Introduction  Natural resource investment (copper mine)  Net Present Value (NPV)  Managerial flexibilities: embedded options  Real Options approach  Dynamic Option Simulation (DOS)  Numerical analyses

Natural Resource Investments  Brennan and Schwartz (1985)  Castillo-Ramirez(1999)  Copper mine Temporary closure Reopen Abortion

Price a Complex Real Option  Multi-variable  Early exercise  Several embedded options  Finite reserves  Pricing ?

 Tree models  Cox, Ross, and Rubinstein (CRR, 1979)  Finite difference methods  Brennan and Schwartz (1978)  Monte Carlo simulations  Boyle (1977) Financial Numerical Methods

 LSM (Longstaff and Schwartz, 2001)  Multi-variable  Early exercise  Several embedded options  Dynamic programming  Finite reserves Dynamic Option Simulation (DOS)

2. The Model  2.1 The stochastic variable processes

 Holding value Holding value > Early exercise value → Holding Holding value < Early exercise value → Exercise 2.2 The LSM

Copper Mine Holding Value  LSM

3.3 DOS – Dynamic Programming N = 45 years, m = 15 years, decision frequency = once/year

DOS Steps  【 Step 1 】  【 Step 2 】  【 Step 3 】

The Embedded Options  Temporary closure  Open at q 1 (normal mining speed)  Abortion  Open at q 2 (faster mining speed)

Acceleration Options

3. Numerical Analyses  The value of a copper mine  The values of embedded options  Under a multi-variable condition  The value of a copper mine  The values of Acceleration Options  Interest rate effects

3.1 The Values of Copper Mines and Embedded Options

3.2 The Values of Copper Mines and Acceleration Options under Multi-variable

3.3 Interest Rate Effects

4. Conclusions  DOS  Copper mine values  Managerial flexibilities: embedded options  Acceleration Options  Interest rate effects

Comments and Suggestions are very welcome Chung-Gee Lin Dept. of Business Mathematics Soochow University, Taiwan Tel : ext Fax :