We study potential drivers for a large cross-section of commodity futures. Unlike previous studies, we examine the effect of monthly drivers on daily returns using mixed-frequency Granger causality tests. We find real economic activity as a main driver on a monthly basis, whereas financial...

This paper investigates whether macroeconomic and data transparency standards lead to lower borrowing costs in sovereign bond markets. We essentially show that emerging market countries which subscribed to the Special Data Dissemination Standard (SDDS) experienced a significant decline in...

This paper examines the effects of China’s monetary policy on global commodity prices over the quarterly period 1990:1-2021:4. Using a Bayesian Structural VAR model, we identify shocks to the interest rate as a price rule and the monetary aggregate (M2) as a quantity rule in China and evaluate...

The paper uncovers the volatility spillovers in tails between non-fungible token (NFT) markets and bitcoin from 2019 to 2021. The results show that the NFTs and bitcoin are less connected in the left tail (bearish markets) in comparison to the right tail. It reveals that the Art NFT market has...

We examine the systematic impact of broker network connectivity on future returns in a centralized limit order book (CLOB) market. For all stocks traded in Borsa Istanbul between March 2005 and November 2015, we estimate network density, reciprocity, and average weighted clustering coefficients...