Workshop on Strategies in Public Debt Management

Debt Managers must still remain cautious five years on from the global financial crisis and in the wake of growing appetite for financing development.

Despite growing optimism in the current economic landscape, five years after the financial crisis swept upon us, debt management remains central to the development agenda. While 2013 saw significant growth in international bond issuance by emerging markets, rising borrowing cost in the wake of falling capital availability – following healthier growth in developed countries and tighter monetary policy (QE) – cannot be ignored.  Many emerging nations are opting for PPP as an appealing avenue to finance infrastructure. Other innovative sources of borrowing are being contemplated by governments keen to boost economic welfare.   

Internationally, new rules and initiatives to improve governance and mitigate risks that nearly crippled the financial architecture few years ago are gradually taking shape.  Debt managers must stand ready to adapt to this evolving environment and embrace new tools, techniques and integrated solutions to manage public sector liabilities. 

Who is this course for?

Debt managers, economists, analysts and accountants from debt management offices and departments, ministries of finance, planning and economy at national and sub-national level, central banks, parastatals and financial market regulators.

How you will benefit – you will be able to:

• – appreciate the role and importance of public debt management for achieving macroeconomic stability and promoting economic growth
• – analyse the pitfalls of risk and debt management from recent experiences and draw lessons for promoting borrowing operations
• – explain debt and financial concepts and how capital markets can promote portfolio choice towards achieving the appropriate cost and risk balance
• – make informed decisions on the costs and risk in debt and financial portfolios
• – develop a sound debt management strategy using various tools and techniques for analysing data