Distance-to-default (DtD) from the Merton model has been used in the credit risk literature, most successfully as an input into reduced form models for forecasting default. In this paper, we suggest that the change in the DtD is informative for predicting change in the credit rating. This is...

Contrary to the weak role of single stock derivatives found in the price discovery literature, this paper finds that single stock futures (SSF) traded on a liquid exchange have a high average information share of 49 percent, which increases by six percentage points upon information arrival. A...

Regulators worldwide have introduced measures such as a fee on high order-to-trade ratio (OTR) to slow down high frequency trading, which existing research shows as having mixed results about its impact on market quality. We study a natural experiment in the Indian stock market where such a fee...

The causal impact of algorithmic trading on market quality has been difficult to establish due to endogeneity bias. We address this problem by using the introduction of co-location, an exogenous event after which algorithmic trading is known to increase. Matching procedures are used to identify...

Stock futures offer leveraged positions and are expected to attract informed traders. However, many researchers have found that the information share of the stock futures is surprisingly small; the equity spot market appears to play a large role in price discovery. In this paper, we investigate...

In 2003, trading of commodity futures shifted from single commodity, regional exchanges to national exchanges that trade multiple commodities. This paper examines price discovery and hedging effectiveness of commodity futures after this change and concludes that,on average, futures prices do...