Hard-to-value stocks provide opportunities for managers to exploit their informational advantage through trading on their firms' and their own personal accounts. In contrast to the prediction that such transactions reflect private information about future events, they are contrarian and heavily...

We focus on the role of social media as a high-frequency, unfiltered mass information transmission channel and how its use for government communication affects the aggregate stock markets. To measure this effect, we concentrate on one of the most prominent Twitter users, the 45th President of...

In this paper, we investigate the dynamic response of stock market volatility to changes in monetary policy. Using a vector autoregressive model, our findings reveal a significant and asymmetric response of stock returns and volatility to monetary policy shocks. Although the increase in the...

We analyze the impact of market frictions on trading volume and liquidity premia of finite maturity assets when investors differ in their trading needs. Our equilibrium model generates a clientele effect (frequently trading investors only hold short-term assets) and predicts i) a hump-shaped...

We analyze the impact of market frictions on trading volume and liquidity premia for finite maturity assets when investors differ in their investment horizons. In equilibrium, illiquidity spills over from short-term to long-term assets and trading concentrates on assets of intermediate maturity....

We analyze the impact of market frictions on trading volume and liquidity premia of finite maturity assets when investors differ in their investment horizons. In equilibrium, short-horizon investors only invest in short-term assets and illiquidity spills over from short-term to long-term...

A flexible statistical approach for the analysis of time-varying dynamics of transaction data on financial markets is here applied to intra-day trading strategies. A local adaptive technique is used to successfully predict financial time series, i.e., the buyer and the seller-initiated trading...

Over 85% of all foreign exchange (FX) transactions involve the US dollar. I show that the US dollar dominates FX trading volume because of strategic avoidance of price impact. To demonstrate this, I leverage the fact that non-dollar currency pairs can be traded indirectly by using the US dollar...

This paper considers spot variance path estimation from datasets of intraday high frequency asset prices in the presence of diurnal variance patterns, jumps, leverage effects and microstructure noise. We rely on parametric and nonparametric methods. The estimated spot variance path can be used...

This paper builds a model of high-frequency equity returns by separately modeling the dynamics of trade-time returns and trade arrivals. Our main contributions are threefold. First, we characterize the distributional behavior of high-frequency asset returns both in ordinary clock time and in...