In this study, we construct financial networks in which nodes are represented by assets and where edges are based on long-run correlations. We construct four networks (complete graph, a minimum spanning tree, a planar maximally filtered graph, and a threshold significance graph) and use three...

This paper aims to establish trends in intraday volatility in context of the Indian stock market and analyze the impact of development in the Indian economy on its stock market volatility. One minute tick data of Nifty 50 futures from Jan 1, 2011 to Aug 31, 2018 was used for the purpose of this...

We measure the incidence of latency arbitrage for cross-listed stocks around the time of an exogenous shock that made the markets faster. Our sample is from NASDAQ Nordic and consists of Nordic blue chip firms listed and traded in multiple markets. We document a sharp decline in the incidence of...

Daily financial market returns (as log difference in closing prices) may be quite sensitive to operation with low trading volumes and big changes in prices frequently traded at market closing times. This paper proposes a more robust estimation of market returns by providing a new indicator that...

The extent to which the stock market provides a hedge to investors against inflation is examined for African stock markets. By employing parametric and nonparametric cointegration procedures, we show that the point estimates of the elasticities of stock prices with respect to consumer prices...

We examine the impacts of both domestic and international financial market development on R&D intensities in 22 manufacturing industries in 18 OECD countries for the period 1990- 2003. We take account of such industry characteristics as the need for external financing and the amount of tangible...

Using high-frequency transaction data for the three largest European markets (France, Germany and Italy), this paper documents the existence of an asymmetric relationship between market liquidity and trading imbalances: when quoted spreads rise (fall) and liquidity falls (increases) buy (sell)...

This paper examines the prediction accuracy of various machine learning (ML) algorithms for firm credit risk. It marks the first attempt to leverage data on corporate social irresponsibility (CSI) to better predict credit risk in an ML context. Even though the literature on default and credit...

This paper provides cross-country analysis of local bond market term premia in emerging countries. In order to investigate the role of domestic and global factors in the determination of compensation demanded by investors for their medium and long term fixed income investments, term premia is...

We study sovereign yield dynamics and order flow in the largest euro-area treasury markets. We exploit unique transaction data to explain daily yield changes in the ten-year government bonds of Italy, France, Belgium, and Germany. We use a state space model to decompose these changes into (i) a...