The relationship between Credit Default Swaps (CDS) and cash bonds plays a pivotal role in providing market participants with important information which directly affects investment and risk management strategies. Particularly relevant is the CDS-Bond basis, defined as the difference in basis...

The predictability of monetary policy surprises based on past, public information has been interpreted in two related yet fundamentally different ways. The "Fed information effect" posits that it arises due to markets updating their view of the economy, based on signals implicitly revealed by...

The yield curve is widely regarded as a powerful descriptor of the economy and market expectations. A common approach to its statistical representation relies on a small number of factors summarizing the curve, which can then be used to forecast real economic activity. We argue that optimal...

We study the spillovers of large-scale asset purchases (LSAPs) in the U.S. on financial intermediation in the euro area using bank-level supervisory data and high-frequency identified policy surprises. Our detailed panel data permit us to trace the impact of LSAPs through bank balance sheets. We...

In response to the scarce evidence regarding herd behaviour in emerging and frontier debt markets, this paper investigates the potential mispricing of MENA sovereign risk. We explore whether this mispricing results from international investor herding, where MENA debt assets are collectively...

This study estimates the zero-coupon yield curves for Turkish government nominal bonds from February 2005 to June 2022 using the Nelson-Siegel-Svensson parametric model. We implement a weighting scheme in the objective function, where squared pricing errors are weighted by the inverse of the...

This study models a representative agent with generalized disappointment aversion preferences in an endowment economy. This model addresses the average upward slope in U.S. real bond yields, equity premium puzzle, and equity volatility puzzle. We integrate a two-state Markov switching process...

This paper uses a tractable stochastic integrated‐assessment model to analyze the influence of climate change on asset returns across time and maturity. Quasi‐analytical, or recursive, formulas allow to price various long‐dated assets, including fixed‐income products, derivatives, and...

This paper examines the role of long-run and cyclical components of interest rate differentials in explaining the returns to currency carry strategies. We show that long-run differentials account for most of the profitability, while cyclical differentials play only a limited role. A simple...

This paper investigates the long-horizon predictive variance of an international bond strategy where a U.S. investor holds unhedged positions in constant-maturity long-term foreign bonds funded at domestic short-term interest rates. Using over two centuries of data from major economies, the...

In this study, we investigate the relationship between implied equity volatility (VIX) and corporate bond spreads, covering both investment-grade and high-yield sectors. Our dataset spans three significant periods of recent volatility: the 2008/09 financial crisis, the COVID-19 pandemic, and the...

This paper investigates how global uncertainty and macro-financial shocks transmitted to BRICS+ equity markets between April 2016 and July 2025. A vector autoregressive (VAR) framework, complemented by Granger-causality tests, variance decompositions, and impulse response functions, is employed...

Vector autoregressions (VARs) are popular for forecasting, but ill-suited to handle occasionally binding constraints, like the effective lower bound on nominal interest rates. We examine reduced-form "shadow rate VARs" that model interest rates as censored observations of a latent shadow rate...

This study applies machine learning methods to predict the Canadian yield curve using a comprehensive set of macroeconomic variables. Lagged values of the yield curve and a wide array of Canadian and international macroeconomic variables are utilized across various machine learning models....

This study examines the dynamic and nonlinear effects of global interest rate (based on the G7 market) shocks on equity markets in BRICS countries. A World Interest Rate (WIR) index is constructed using principal component analysis of short-term interest rates from developed economies. The...