Sovereign Risk Matters: The Effects of Endogenous Default Risk on the Volatility of Interest Rate Spreads

2020 ◽  
Author(s):  
Sergio de Ferra ◽  
Enrico Mallucci
2019 ◽  
Vol 19 (240) ◽  
Author(s):  
Thomas McGregor

How do oil price movements affect sovereign spreads in an oil-dependent economy? I develop a stochastic general equilibrium model of an economy exposed to co-moving oil price and output processes, with endogenous sovereign default risk. The model explains a large proportion of business cycle fluctuations in interest-rate spreads in oil-exporting emerging market economies, particularly the countercyclicallity of interest rate spreads and oil prices. Higher risk-aversion, more impatient governments, larger oil shares and a stronger correlation between domestic output and oil price shocks all lead to stronger co-movements between risk premiums and the oil price.


2005 ◽  
Vol 08 (04) ◽  
pp. 687-705 ◽  
Author(s):  
D. K. Malhotra ◽  
Vivek Bhargava ◽  
Mukesh Chaudhry

Using data from the Treasury versus London Interbank Offer Swap Rates (LIBOR) for October 1987 to June 1998, this paper examines the determinants of swap spreads in the Treasury-LIBOR interest rate swap market. This study hypothesizes Treasury-LIBOR swap spreads as a function of the Treasury rate of comparable maturity, the slope of the yield curve, the volatility of short-term interest rates, a proxy for default risk, and liquidity in the swap market. The study finds that, in the long-run, swap spreads are negatively related to the yield curve slope and liquidity in the swap market. We also find that swap spreads are positively related to the short-term interest rate volatility. In the short-run, swap market's response to higher default risk seems to be higher spread between the bid and offer rates.


2017 ◽  
Vol 8 (1) ◽  
pp. 76-88 ◽  
Author(s):  
Samuel Kwabena Obeng ◽  
Daniel Sakyi

Purpose The purpose of this paper is to examine macroeconomic determinants of interest rate spreads in Ghana for the period 1980-2013. Design/methodology/approach The autoregressive distributed lag bounds test approach to cointegration and the error correction model were used for the estimation. Findings The results indicate that exchange rate volatility, fiscal deficit, economic growth, and public sector borrowing from commercial banks, increase interest rate spreads in Ghana in both the long and short run. Institutional quality reduces interest rate spreads in the long run while lending interest rate volatility and monetary policy rate reduce interest rate spreads in the short run. Research limitations/implications The depreciation of the Ghana cedi must be controlled since its volatility increases spreads. There is a need for fiscal discipline since fiscal deficits increase interest rate spreads. Government must reduce its domestic borrowing because the associated crowding-out effect increases interest rate spreads. The central bank must improve its monitoring and regulation of the financial sector in order to reduce spreads. Originality/value The main novelty of the paper (compared to other studies on Ghana) lies on the one hand; analysing macroeconomic determinants of interest rate spreads and, on the other hand, controlling for the impact of institutional quality on interest rate spreads in Ghana.


2000 ◽  
Vol 10 (2) ◽  
pp. 155-161 ◽  
Author(s):  
Bernardino Adao ◽  
Jorge Barros Luis

2014 ◽  
Author(s):  
Michal Brzoza-Brzezina ◽  
Jacek Kotlowski ◽  
Kamil Wierus

2017 ◽  
Vol 9 (2) ◽  
pp. 182-227 ◽  
Author(s):  
Pierpaolo Benigno ◽  
Salvatore Nisticò

This paper studies monetary policy in models where multiple assets have different liquidity properties: safe and “pseudo-safe” assets coexist. A shock worsening the liquidity properties of the pseudo-safe assets raises interest rate spreads and can cause a deep recession-cum-deflation. Expanding the central bank’s balance sheet fills the shortage of safe assets and counteracts the recession. Lowering the interest rate on reserves insulates market interest rates from the liquidity shock and improves risk sharing between borrowers and savers. (JEL E31, E32, E43, E44, E52)


Sign in / Sign up

Export Citation Format

Share Document