scholarly journals One size fits all? High frequency trading, tick size changes and the implications for exchanges: market quality and market structure considerations

2017 ◽  
Vol 50 (2) ◽  
pp. 353-392 ◽  
Author(s):  
Thanos Verousis ◽  
Pietro Perotti ◽  
Georgios Sermpinis
Author(s):  
Raymond P. H. Fishe

Electronic platforms and high frequency traders (HFTs) have changed the nature of trading. Like equity markets, commodity markets have experienced an influx of algorithmic traders and a decline in “pit” or open outcry trading. Regulatory efforts to understand the effects of HFTs and to offer prudent guidelines or new rules are in their infancy. An overall hesitancy exists because academic studies have produced diverse results on liquidity, volatility, and market quality. This survey focuses on high frequency trading research in commodity derivative markets, documenting basic results and extracting inferences when warranted. Evidence indicates that HFTs act as market makers and their speed advantage has lowered transaction costs, generally during normal markets. Although not entirely conclusive, evidence also suggests that HFTs may exacerbate volatility by withdrawing liquidity in times of market stress, such as during “flash” crashes.


2015 ◽  
Vol 01 (01) ◽  
pp. 1550003 ◽  
Author(s):  
Khalil Dayri ◽  
Mathieu Rosenbaum

In this work, we provide a framework linking microstructural properties of an asset to the tick value of the exchange. In particular, we bring to light a quantity, referred to as implicit spread, playing the role of spread for large tick assets, for which the effective spread is almost always equal to one tick. The relevance of this new parameter is shown both empirically and theoretically. This implicit spread allows us to quantify the tick sizes of large tick assets and to define a notion of optimal tick size. Moreover, our results open the possibility of forecasting the behavior of relevant market quantities after a change in the tick value and to give a way to modify it in order to reach an optimal tick size. Thus, we provide a crucial tool for regulators and trading platforms in the context of high frequency trading.


2010 ◽  
Vol 36 (1) ◽  
pp. 57-81 ◽  
Author(s):  
Kee H. Chung ◽  
Jangkoo Kang ◽  
Joon-Seok Kim

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