This paper investigates herding behaviors in U.S treasury markets. We document novel evidence that mutual funds exhibit strong herding behaviors on trading long-term treasuries. This “term-structure” herding is only pronounced for buy herding, not sell herding. The relationship between...

We suggest that the term structure of volatility futures (e.g. VIX futures) shows a clear pattern of dependence on the current level of VIX index. At the low level of VIX (below 20) the term structure is highly upward sloping; at the high VIX level (over 30) it is strongly downward sloping. We...

In this paper, we estimate the impact of fundamental economic factors on corporate bond spreads in Israel. Using a database that includes all tradable corporate bonds in Israel in 2007–20, we examine if, when, and in what bond groups there was a prolonged deviation of the actual spread from...

We outline key steps necessary to reform the London Interbank Offered Rate (LIBOR) so as to improve its robustness to manipulation. We first discuss the role of financial benchmarks such as LIBOR in promoting over-the-counter market efficiency by improving transparency. We then describe how to...

Blockchain, based on the distributed ledger technology, provides immediate settlement of transactions of digital assets and direct ownership. Since settlement of transactions is immediate, the blockchain system requires an ultra short tenor interest rate curve that is always up-to-date. Today,...

We use outages as natural experiments to study sovereign bond market functioning. When the euro area futures market goes down, trading activity on the cash market declines, liquidity evaporates, and transaction prices deviate from fundamental values. Tracing back this macro-level market...

On 11 March 2015, SUERF jointly organised a conference with the Oesterreichische Nationalbank and the Austrian Society for Bank Research (Bankwissenschaftliche Gesellschaft - BWG). The present SUERF Study 2015/2 includes a selection of papers based on the authors' contributions to the Vienna...

We give explicit algorithms and source code for extracting factors underlying Treasury yields using (unsupervised) machine learning (ML) techniques, such as nonnegative matrix factorization (NMF) and (statistically deterministic) clustering. NMF is a popular ML algorithm (used in computer...

We provide evidence on how corporate bond investors react to a change in yields, and how this behaviour differs in times of market‐wide stress. We also investigate ‘reaching for yield' across investor types, as well as providing insights into the structure of the corporate bond market. Using...

This paper studies the role of mutual fund yield in driving investor flows and performance of bond funds. Using two common measures, the SEC yield and 12-month distribution yield, we find strong evidence that investors tend to chase bond funds with higher yields, even after controlling for total...