JVI Workshop Medium Term Debt Management Strategy (MTDS) An Introduction to Scenario Analysis in Practice: Capturing Risk

Similar documents
Role and Functions of an Efficient Debt Management Information System (DMIS) José Maurel The Public Debt Management Practice, Mauritius

CURRICULUM MAP TEMPLATE

LEARNING OBJECTIVES MACRO ECONOMIC

A Glimpse Into 2017: Forecasting Supplier Prices

INTRODUCTION MANAGERIAL ECONOMICS CHAPTER ONE. ECON340: Managerial Economics Ch.1 Dr. Mohammed Alwosabi. Dr. Mohammed Alwosabi MANAGERIAL ECONOMICS

Economics 101. Chris Gan July Economics 101 1

Lecture-9. Importance of forecasting: Almost every organization, large or small, public or private uses. Types of forecasts:

Impacts on the New Zealand economy of commitments for abatement of carbon dioxide emissions

8. Consumption, uncertainty, and the current account

Simulation Analytics

Compustat Data from S&P Global Market Intelligence

IFRS9 Best Practice. Focus on Impairment Presentation prepared for RiskMinds Digital Week. Christian Düsterberg, Erste Group Bank AG

FORE School of Management INTERNATIONAL MANAGERS GROUP. Area Course Title Learning objective

Seminar on African Electrical Interconnection. Module 3 Resource Development

2015 Investor Meeting

HRVATSKA ELEKTROPRIVREDA

CHOITHRAM SCHOOL, MANIK BAGH, INDORE ANNUAL CURRICULUM PLAN SESSION

BEAR Essentials. Overview of the Berkeley Energy and Resources Model

Asian Regional Public Debt Management Forums and Workshops

Economics 120 Phone: FALL 2014 Office: D-413

OECD-FAO Agricultural Outlook Methodology

Pillar 2 - Supervisory Review Process

Sage 200c Business Intelligence Datasheet

Understanding the implementation of the International Advanced Level in Economics June 2013

Economics. Benjamin Maxedon

Policy Impact Analysis of Policies Using Partial Equilibrium Analysis (PEA) Multi-Market Models (MMM)

Quantifying Uncertainty in Baseline Projections of CO2 Emissions for South Africa

Descriptive, predictive, prescriptive: Transforming asset and facilities management with analytics

Navajo Generation Station Phase 2 Study

NOTE FROM THE FRENCH AUTHORITIES

Post-Tsunami Recovery: Lessons from Case Study 1. Sri Lanka

A Method to Quantify STAT Impact in DoD Test Design

Combining Decision Analysis and Analytics. John Busbice, Managing Partner Keen Strategy

DATA TEMPLATE FOR HIGH FREQUENCY INDICATORS. EXPERT GROUP MEETING ON ECONOMIC STATISTICS AND NATIONAL ACCOUNTS Amman, July 2011

In this lesson, we will start discussing a new innovation for Piedmont Farm a solar panel installation and begin to look at how to prepare a

TCS Financial Results

Course Description (Bachelor of Accounting) BA

INTRODUCTION TO MANAGERIAL ECONOMICS

Basel Committee on Banking Supervision. Stress testing principles

SAP Custom Development. User Guide. Version Status Date. November 19, Customer SAP AG Dietmar-Hopp-Allee 16 D Walldorf

MACROECONOMIC IMPACTS OF THE LOW CARBON TRANSITION IN BELGIUM ANNEX 1 MAIN RESULTS

A Meta-model Approach to Scenario Generation in Bank Stress Testing

CGMA Competency Framework

Review of Operations and Activities: Listing Rule Guidance Note 10. Introduction. Issued: March 2003

From Insight to Action Best Practice Treasury Transformation

How best to measure your CRM success or failure

Principles of Macroeconomics

Building Financial Models For Decision Making

A Glossary of Macroeconomics Terms

Unlocking Our Growth Opportunity

Course Title: Mathematics for Management I Course Title: Mathematics for Management II Course Title: Business Communication

ECONOMICS CLASS - XII ( )

Intermediate Macroeconomic Theory, 01/07/2003. A Glossary of Macroeconomics Terms

Introduction to Economics (#3450)

PROGRAMME: B.A. (FIRST YEAR) PAPER: MICRO ECONOMICS-I

TENNESSEE PROPOSED SOCIAL STUDIES CURRICULUM FRAMEWORK, ECONOMICS PROCESS STANDARDS:

Linking Financial Measures to Your Company's Strategy

Product Portfolio Selection as a Bi-level Optimization Problem

ASSESSING THE FINANCIAL RESOURCES NEEDED TO IMPLEMENT THE STRATEGIC PLAN FOR BIODIVERSITY AND ACHIEVE THE AICHI BIODIVERSITY TARGETS

Outline. Overview and Purpose. World Population. Indicators of Consumer Behavior The Market Basket Energy Transportation Travel Purchasing Power

N/A N/A. Yes. Students are expected to review and understand all areas of the course outline.

Outline. Overview and Purpose. World Population. Indicators of Consumer Behavior The Market Basket Energy Transportation Travel Purchasing Power

Performance criteria

Performance Management in Higher Education

Results Briefing FY2010-1Q COPYRIGHT(C) 2010 ALPS ELECTRIC CO., LTD. ALL RIGHTS RESERVED.

Road map for. March 19, Enterprise Risk Management USI Insurance Services National, Inc. All rights reserved.

GAINS Mitigation Effort Calculator

Stifel Conference. Blake Moret Chairman and Chief Executive Officer. Patrick Goris Senior Vice President and Chief Financial Officer.

Hyperion - total planning and budgeting. Michał Kozłowski, EPM Solution Sales Poland, Lithuania, Latvia, Estonia

Reigniting profitable growth. Heikki Takala President and CEO

The outline of Macroeconomic Model and Material Stock/flow Model

Wacom Chapter 2. Medium-Term Business Plan. FY36 ending March FY39 ending March 2022

The ORP Process When developing new opportunities Shell Exploration and Production (EP) uses the Opportunity Realization

Capital Modeling Principles and Practices in the Insurance Industry

For the quarterly period ended JUNE 30, OR

Maximization of the Finance function through Business Partnering

Enterprise Risk Management

Approach Paper. Impact Evaluation of IFC s Business License Simplification Program to Promote Entrepreneurship in Peru: an Independent Assessment

INTRODUCTION TO ECONOMICS

Fundamentals of Economics. 3 June Marking Scheme

Master of Business Administration Program in the Faculty of Business Administration and Economics

Gross Domestic Product

VeriFone Files Restated Reports

Welcome to our Farm Business Management educational series, and the first video in the Business Planning module or section of that series.

Fossil Fuel Prices and the Economic and Budgetary Challenges of a Small Energy-Importing Economy: The Case of Portugal *

ECO401 Latest Solved MCQs.

R&D Performance Management

Investor Presentation February PKD (NYSE) Rig 273 Alaska

VALUE ENGINEERING LECTURE 5. Ahmed Elyamany

ALLAMA IQBAL OPEN UNIVERSITY, ISLAMABAD (Commonwealth MBA/MPA Programme) ECONOMIC ENVIRONMENT FOR BUSINESS (5571) CHECK LIST SEMESTER: AUTUMN, 2012

Cashless Cities and Digital Payments Opportunities and Challenges in Supporting the Shift to Digital Commerce

YOUR GOODS. OUR BEST. YOUR GOODS. OUR BEST.

Conquering the Valley of Death: overcoming pitfalls in financing sustainable agriculture. The case of improving cocoa yields in San Martin, Peru

2003 HSC Notes from the Marking Centre Economics

White Paper January Budgeting: Beyond spreadsheets

Economic Outcomes of a U.S. Carbon Tax. Executive Summary

CHAPTER 3 MITIGATION ASSESSMENT OF THE ENERGY SECTOR: AN OVERVIEW

The PRIMES Energy Model

Operations Research QM 350. Chapter 1 Introduction. Operations Research. University of Bahrain

GCE. Edexcel GCE Economics (6356) Summer Edexcel GCE. Mark Scheme (Results) Economics (6356)

Transcription:

An Introduction to Scenario Analysis in Practice: Capturing Risk 1

Outline What is a risk model? Why is it useful? The structure of a simple scenario analysis model Model input, engine and output Description of the simulation process Implementation issues How are scenario models used in practice? Off-the-shelf or in-house developed model? Scenario analysis vs. stochastic modeling Summary 2

What is a risk model? A specific representation of something more general and usually more complex Allows quantification of cost and risk Requires clear definition of cost and risk Simplified representation of the debt process Computation tool what-if scenarios Basic tool for assessment, monitoring and review of risk support the identification and choice of indicators/targets 3

Why is a risk model useful? Allows analysis of many scenarios and strategies - monitor and review strategies to alter risk Maintain integrity across different scenarios/strategies Forces discipline Gives deeper insight into the process Basis needs to be in order: Access to high quality and timely data 4

Is a model needed to develop an MTDS? No, recent examples include Indonesia, Peru, Brazil, Colombia In the above cases, the strategy was initially formulated as broad guidelines based on intuition More domestic debt Longer maturity etc. A natural next step is providing more precision in the form of targets for specific risk indicators this requires a model 5

The structure of a simple scenario analysis model INPUT Existing debt cash flows Macro Variables -Primary fiscal balance Structure of new debt -Borrowing strategy Financial variables - Exchange rates - Interest rates ENGINE Cash-flow Simulation OUTPUT Cost Risk 6

Input: Existing debt cash flows Cash flows based on outstanding balance today By currency Domestic debt Foreign currency debt (USD, EUR, JPY, etc) By interest rate Fixed Floating 7

Input: Macroeconomic variables What are the future paths for the macro economy? Primary surplus/deficit projections Expenditure plans Projected revenues This will determine the new borrowing requirement Projections for GDP growth These variables are usually exogenous (though some countries have tried to use structural models to link interest rates and GDP) 8

Input: Structure of new debt What is amount of new debt that needs to be issued? Primary deficits Maturing existing debt Interest cost of existing debt Maturing new debt Interest cost of new debt Assumption: finance maturing debt and interest cost through new debt Select a strategy: e.g. all domestic, 50% 1 yr / 50% 5 yr 9

Input: Financial variables Scenarios for future market rates Exchange rates E.g. existing rates, Interest Rate Parity etc. Interest rate E.g. existing rates, forward rates etc. Among potential scenarios for future market rates a base scenario is chosen this will function as the basis for measuring cost and risk A sound design of the base scenario is vital for the risk analysis 10

Model output: Cost and risk Cost Risk Scenario 1 Risk 1,X Base-case Scenario Cost 1,X Time 11

Cash flow simulation Decide on the time frame of analysis, e.g. 10 years The debt service flows generated by the baseline scenario for a given new debt issuance strategy will be defined as the expected cost The sensitivity of a borrowing strategy to market rates can be analyzed by comparing the cost of alternative scenarios for market rates Different borrowing strategies can be analyzed by comparing cost and risk for one or more risk scenarios for market rates 12

Using debt portfolio modeling in practice Pre-requisites for modeling: High quality and timely data on the outstanding debt portfolio Dedicated staff with good knowledge of spreadsheets and finance Issues for modeling Selection of market variable scenarios, or period of history for parameterizing a simulation, may be difficult when the economy has been through periods of instability The process of developing a model represents a considerable investment 13

How can the tool support the development of the MTDS? Forces discipline Clear cost and risk definition Clarification of macro framework Clarification of constraints regarding market Clear time horizon Ensures integrity when comparing alternative strategies Allows monitoring and review of risks Gives deeper insight to the debt-process 14

Typical experiences from working with risk modeling Not the main basis for decision-making, rather a supplement to experience, sound judgment etc. provide additional information for making better choices Increase knowledge of the cost/risk trade offs Requires dedicated resources, time-consuming Clarifies framework for decision-making Simple concept, but need lot of details Lack of integrated and high quality database 15

Off-the-shelf or in-house-developed model? Model development requires Adequate staff and software Time often trial and error Focus on key person risk Buying an off-the-shelf model is tempting, but supply is very limited and will often imply acquiring a black box What are the implications of the above statement for the MTDS Analytical Tool? 16

Scenario analysis vs. stochastic modeling A simple scenario analysis model provides a basis for more advanced stochastic models Number of scenarios are increased from a few to several thousand Allows quantification of cost and risk Cost-at-Risk models are related to the VaR concept What is the maximum cost of the debt in a given year with a probability of 95% 17

Summary A scenario model provides input on the direction and magnitude of risks requires clear definition of cost and risk A simple scenario analysis model can provide input on The costs and risks of the existing borrowing strategy The choice between alternative borrowing strategies Strategic targets can be derived from the cost/risk analysis Trial and error process that is very time consuming A simple scenario model provide the basis for more advanced Cost-at-Risk models 18

Some final thoughts Scenario analysis is extremely useful when developing a Medium Term Debt Management Strategy Can a sound MTDS be developed without scenario analysis? Yes, but the Tool allows digging deeper Is the Box too black? Not custombuilt, rather, can accommodate many types of debt Requires training 19