Reference rate markets are a central feature in capital markets around the world that enable lenders to expand financing possibilities for the business sector and reduce exposure to risks of unexpected changes in the interest rate. However, due to the many manipulations of reference rates...

Recurrent neural networks (RNNs) are types of artificial neural networks (ANNs) that are well suited to forecasting and sequence classification. They have been applied extensively to forecasting univariate financial time series, however their application to high frequency trading has not been...

Using an extensive, time-series, cross-sectional data-set of actively traded Indian stocks with up to 1.75 million firm-day observations, we discern the key determinants of commonality in liquidity among emerging markets.The paper shows evidence for both supply-side and demand-side factors...

In this paper, we further study various new Hawkes processes, namely, so-called general compound and regime-switching general compound Hawkes processes to model the price processes in the limit order books. We prove Law of Large Numbers (LLN) and Functional Central Limit Theorems (FCLT) for...

In this paper we introduce two new Hawkes processes, namely, compound and regime-switching compound Hawkes processes, to model the price processes in limit order books. We prove Law of Large Numbers and Functional Central Limit Theorems (FCLT) for both processes. The two FCLTs are applied to...

This paper studies a dynamic market microstructure model, in which a strategic market maker competes with an informed trader. We include the presence of noise traders and limit order traders in our setup. Our model is a N-period model. We give necessary and sufficient conditions for an...

We study the interaction between tax advantages for municipal bonds and the market structure of auctions for these bonds. We show that this interaction can limit a bidder's ability to extract information rents and is a crucial determinant of state and local governments' borrowing costs....

Large investors often advertise private information at private talks or in the media. To analyse the incentives for information disclosure, I develop a two-period Kyle (1985) type model in which an informed short-horizon investor strategically discloses private information to enhance price...