The use of analytical tools to determine debt management strategies National Treasury Asset and Liability Management Division 27 June 2013
Outline Core elements in designing debt management strategies South Africa s analytical tools Public debt analytical tools 2
Core elements in designing debt management strategies 3
Key steps in formulating a debt management strategy Identify objectives for debt management and scope of the MTDS Identify cost and risk of the existing debt Identify potential funding sources Identify baseline projections and risks for key policy areas fiscal, monetary and market Review key longer-term structural factors and determine implications for MTDS Identify the cost-risk trade-offs for alternative strategies, and rank their performance Review implications of preferred strategy with fiscal and monetary policy authorities, and for market conditions Submit recommendation and secure agreement on MTDS from decision makers Source: Developing a MTDS Guidance Note for Country Authorities (World Bank, IMF, 2009) 4
Debt strategy and annual borrowing plan Market Conditions & Demand Factors Medium-term Debt Management Strategy Borrowing Mix Cost-Risk Consistency Govt. Budget Regular & Stable Issuance Calendar Annual Borrowing Plan Integration of Cash & Debt Management Govt. Cash Flow Forecast Debt Market Development Risk Mitigation Benchmark Bond Policy or New Issuance Buyback/Switches Other LM Opns Macro-economic coordination 5
South Africa s analytical tools 6
Debt and debt-service cost forecasting model Macroeconomic forecast Current portfolio Cash flows Funding strategy Switches (Exchanges)/ buy-backs Funding instruments Budget deficit Model Gross borrowing requirement Redemptions Extraordinary receipts/ payments Risk benchmark Output Debt service costs Scenarios Risk benchmarks Volume of debt 7
2013/2014 2014/2015 2015/2016 2016/2017 2017/2018 2018/2019 2019/2020 2020/2021 2021/2022 2022/2023 2023/2024 2024/2025 2025/2026 2026/2027 2027/2028 2028/2029 2029/2030 2030/2031 2031/2032 2032/2033 2033/2034 2034/2035 2035/2036 2036/2037 2037/2038 2038/2039 2039/2040 2040/2041 2041/2042 2042/2043 2043/2044 2044/2045 2045/2046 2046/2047 2047/2048 2048/2049 2049/2050 2050/2051 2051/2052 R billion Management of refinancing risk 450 400 350 300 250 200 150 100 50 0 FRB ILB Zeros Foreign T-Bills Smoothning (R39bn) 6% 8
Short-term Long-term Quality of cash management and forecasting is important 3-year annual forecast 3-year monthly forecast Year 1 Year 2 Year 3 Months Months Months 1 2 3 4 5 6 7 8 9 11 12 1 2 3 4 5 6 7 8 9 11 12 1 2 3 4 5 6 7 8 9 11 12 Current year rolling monthly forecast Year 1 Months 1 2 3 4 5 6 7 8 9 11 12 Rolling into year two 90-day daily forecasts (or longer if needed) Days 1-90 Current day firm forecasts (11:00 and 15:00) 9
2000/01 2001/02 2002/03 2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10 2010/11 2011/12 2012/13 2013/14 2014/15 2015/16 R billion Per cent of GDP Total net government debt 2,000 1,800 1,600 Gross loan debt Net loan debt Total net debt as % of GDP (Right axis) 45 40 1,400 1,200 35 1,000 30 800 600 25 400 200 20 0 15 10
2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10 2010/11 2011/12 2012/13 2013/14 2014/15 Per cent of revenue and expenditure Per cent of GDP Government debt-service costs to peak in 2013/14 17 16 15 14 13 12 Per cent of revenue Per cent of expediture Per cent of GDP (right axis) 4 11 10 9 8 7 6 5 3 4 2 11
Composition of the debt portfolio 31 March 2013 9.2% 35.1% 90.8% 64.9% Domestic Foreign Fixed rate Non-fixed rate 12
Managing contingency liabilities RiskCalc Moody s KMV analytical tool is used to determine the probability of default by state-owned companies Models used indicators such as: profitability, leverage, debt coverage, liquidity The model is used to managed the national government s guarantee exposure CreditEdge The model is used to determine the National Treasury s credit risk exposure for investing surplus cash Model includes business and financial risk indicators 13
2006/07 2007/08 2008/09 2009/10 2010/11 2011/12 2012/13 2013/14 2014/15 2015/16 Per cent of GDP Net debt, provision and contingent liabilities 60 50 40 30 20 10 0 Net debt Provisions Contingent liabilities Tolerance benchmark Net debt + Provisions + Contingent liabilities 14
Public Debt Analytical Tools 15
Available analytical tools Only few developing countries have a formal debt analytical tool Mostly build in-house MTDS Toolkit - IMF-World Bank DMFAS - UNCTAD Horizon - Commonwealth Secretariat Commercial software (CreditEdge/RiskCalc) 16
Analytical framework of Horizon: An overview Source: Commonwealth Secretariat 17
Benefits of using Horizon by National Treasury Improving the formulation of our debt management strategy through an explicit, transparent and audit trails on cost-risk analysis Use the yield curve across the term structure for better forecasting of cash flows on future borrowings and valuation of debt Have the formulation and implementation of debt strategy in the same system and framework for continuity and consistency Better integration of cash and debt management Improve portfolio analysis through more risk indicators Improve analytical reporting on debt management Improved monitoring of annual borrowing plan 18
Thank You 19