Although China now has one of the largest government bond markets in the world, the market has received relatively little attention and analysis. We describe the history and structure of the market and assess its functioning. We find that trading in individual bonds was historically sparse but...

Although China now has one of the largest government bond markets in the world, the market has received relatively little attention and analysis. We describe the history and structure of the market and assess its functioning. We find that trading in individual bonds was historically sparse but...

This paper surveys the literature that studies fixed-income trading rules and outcomes, including Treasury securities, corporate and municipal bonds, and structured credit products. We compare and contrast the microstructure and regulation of fixed-income markets with equity markets. We...

Auctions of government bonds are the main allotment method used by the Treasury of advanced economies. Previous research has found that auctions have an influence on the market yield days before they take place, and underpricing is usually spotted when their outcome is compared with...

We build an agent-based model to study how the interplay between low- and high- frequency trading affects asset price dynamics. Our main goal is to investigate whether high-frequency trading exacerbates market volatility and generates flash crashes. In the model, low-frequency agents adopt...

Using a novel multivariate microstructure model and time varying estimation framework we analyse the change in the information structure of the segmented Shanghai A and B share listed stocks after a significant set of regulatory reforms in 2001, nicknamed the 'year of regulation' by...

We show that the Truncated Realized Variance (TRV) of a semimartingale asset price converges to zero when observations are contaminated by microstructure noises. Under the additive iid noise assumption, a central limit theorem is also proved. In consequence it is possible to construct a feasible...

We analyze the impact of high frequency (HF) trading in financial markets based on a model with three types of traders: liquidity traders (LTs), professional traders (PTs), and high frequency traders (HFTs). Our four main findings are: i) The price impact of liquidity trades is higher in the...

We analyze the impact of high frequency (HF) trading in financial markets based on a model with three types of traders: liquidity traders (LTs), professional traders (PTs), and high frequency traders (HFTs). Our four main findings are: i) The price impact of liquidity trades is higher in the...

In this paper, we introduce a Transactionally Efficient Market Model, which evolves from the standard efficient market model, encompassing both transaction costs and bid-ask prices. Hence, we delve into how arbitrage makes its way within this complex setting. The main outgrowth of the analysis...