Strategies for Managing Sovereign Debt

A Robust Decision Making Approach

by Shmuel Abramzon

Download eBook for Free

FormatFile SizeNotes
PDF file 1.4 MB

Use Adobe Acrobat Reader version 10 or higher for the best experience.

Sovereign debt portfolios are affected by financial and economic factors that are themselves deeply uncertain. Building on methodological developments for policy making under deep uncertainty, this dissertation examines and demonstrates how the Robust Decision Making (RDM) methodology could be applied to the problem of selecting the government's debt portfolio. Using a large set of non-probabilistic simulations coupled with data mining tools, the analysis identifies and characterizes bond issuance strategies that appear to perform well across a large set of possible assumptions and scenarios. This approach introduces a new framework for assessing funding strategies based on varying assumptions regarding the government's liquidity buffer. This proof-of-principle analysis illustrates possible improvements to debt management practices, both in government and in the private sector.

Table of Contents

  • Chapter One

    Introduction and Background

  • Chapter Two

    Existing Approaches to Sovereign Debt Management

  • Chapter Three

    Incorporating Robustness into Debt Management Practices

  • Chapter Four

    The Analysis

  • Chapter Five

    Summary and Policy Implications

  • Appendix One

    Examples of Sovereign Debt Modeling Efforts

  • Appendix Two

    Model Description

  • Appendix Three

    Additional Results of the Steady State Analysis

  • Appendix Four

    Analysis using Median Regret and Maximum Value

  • Appendix Five

    Additional Figures

Research conducted by

This document was submitted as a dissertation in September 2014 in partial fulfillment of the requirements of the doctoral degree in public policy analysis at the Pardee RAND Graduate School. The faculty committee that supervised and approved the dissertation consisted of Steven Popper (Chair), Robert Lempert, and Zvi Wiener.

This report is part of the RAND Corporation dissertation series. Pardee RAND dissertations are produced by graduate fellows of the Pardee RAND Graduate School, the world's leading producer of Ph.D.'s in policy analysis. The dissertations are supervised, reviewed, and approved by a Pardee RAND faculty committee overseeing each dissertation.

Permission is given to duplicate this electronic document for personal use only, as long as it is unaltered and complete. Copies may not be duplicated for commercial purposes. Unauthorized posting of RAND PDFs to a non-RAND Web site is prohibited. RAND PDFs are protected under copyright law. For information on reprint and linking permissions, please visit the RAND Permissions page.

The RAND Corporation is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.