Thought Leadership

  • Join us for a targeted call to discuss these trends and how strategy selection can help you improve performance in U.S. cash equities trading:

    -Unusual volume patterns and increased volatility over the past six months.
    -Higher transaction costs in U.S. equities for the third consecutive quarter.
    -Perception of reduced liquidity conditions.

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  • The ability to anticipate market volumes and volatility has considerable value in a variety of trading applications. Accurate forecasts of market conditions allow buy- and sell-side traders to adjust their strategies to improve trading performance. In addition, such information facilitates informed decisions regarding the difficulty of trading on a given day, the size of an order that can be realistically completed, and the true relative difficulty of trading the individual names in portfolio trades.

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  • Canadian markets have been seen as an upstairs block market, where the big five banks dominate. But relative market share for block trading has ebbed steadily in the past few years, and recent structure changes have transformed the nature of downstairs markets.

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  • Join ITG for a targeted call about these emerging trends and what they mean for US equity traders:

    • Increase in block trading activity as a percentage of overall volume in the first two months of 2016
    • Significantly higher dark pool market share YTD compared to the high volatility market environment in August–September 2015
    • Sharp reduction in NYSE opening auction delays after the controversial failures in August 2015

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  • Nowhere has the term “Big Data” been more overused than in financial services, particularly in capital markets. The financial services industry produces massive amounts of data daily. Firms in this industry spend millions annually on capturing and storing every imaginable aspect of a transaction. The granularity of data extracted from queries made and transactions processed allows for a wealth of information to be obtained. But how much of that “Big Data” is actually used and are firms investing enough time in understanding the value that data and information provides? Certainly plenty of funds are being allocated to building the Big Data infrastructure. What is the return?

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