Collaborative Filtering(CF) is a well-known technique in recommender systems. CF exploits the relationships between users and recommends the items to the active user according to the ratings of his/her neighbors. CF su®ers from the data sparsity problem, where users only rate a small set of...

As a consequence of recent technological advances and the proliferation of algorithmic and high frequency trading, the cost of trading in financial markets has irrevocably changed. One important change relates to how trading affects prices; known as price impact. Price impact represents the...

This paper studies the theoretical properties and implementation issues with the risk-neutral density (RND) estimator based on the mixture-of-lognormal (MLN) approach. First, we establish the consistency and asymptotic normality of the MLN method under the correct choice of mixtures and propose...

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...

As a consequence of recent technological advances and the proliferation of high-frequency trading and other forms of algorithmic trading, the cost of trading in financial markets has irrevocably changed. One important change relates to how trading affects prices; this is known as price impact....