We propose a least squares regression framework for the estimation of the realized covariation matrix using high frequency data. The new estimator is robust to market microstructure noise (MMS) and non-synchronous trading. Comprehensive simulation and empirical analysis show that our estimator...

This paper provides a guide to high frequency option trade and quote data disseminated by theOptions Price Reporting Authority (OPRA). We present a comprehensive overview of the U.S. option market, including details on market regulation and the trading processes for all 16 constituent option...

Theories of customer supplier relationships hold that the private information of suppliers about buyers explains the use of trade credit even when there is a competitive banking sector. If suppliers possess private information about their buyers, then the buyer's order size and ability to pay on...

Theories of customer supplier relationships hold that the private information of suppliers about buyers explains the use of trade credit even when there is a competitive banking sector. If suppliers possess private information about their buyers, then the buyer's order size and ability to pay on...

In this paper we examine the relative importance of trading volume, bid-ask spread, order flow, order imbalance, total quote depth, quote depth difference and trading intensity for high-frequency volatility estimation. By using a best subset regression approach, we fi nd that contemporaneous...

The expected value of sums of squared intraday returns (realized variance) gives rise to a least squares regression which adapts itself to the assumptions of the noise process and allows for joint inference on integrated volatility (IV), noise moments and price-noise relations. In the iid noise...