Abstract:We show that market-maker balance sheet and income statement variables explain time variation in liquidity, suggesting liquidity-supplier financing constraints matter. Using 11 years of NYSE specialist inventory positions and trading revenues, we find that aggregate market-level and specialist firm-level spreads widen when specialists have large positions or lose money. The effects are nonlinear and most prominent when inventories are big or trading results have been particularly poor. These sensitivities are … Show more
“…In a crisis period, financial constraints and extreme volatility risk may give rise to the forced withdrawal of liquidity in several markets simultaneously, often accompanied by fire-sales of assets. Comerton-Forde et al (2010), Hameed et al (2010), and Ben-David et al (2012), amongst others, provide empirical evidence for this theory in equity markets. However, no study has tested yet this mechanism (which I call 'funding channel') for the co-movements between equity and CDS bidask spreads, as my paper instead does.…”
In this paper I show that the co-movements between bid-ask spreads of equities and credit default swaps vary over time and increase over crisis periods. The co-movements are strongly related to systematic risk factors and to the theoretical debt-to-equity hedge ratio. I document that hedging and asymmetric information, besides higher funding costs and market volatility risk, are driving factors of the commonality and are significantly priced in CDS bid-ask spreads.
“…In a crisis period, financial constraints and extreme volatility risk may give rise to the forced withdrawal of liquidity in several markets simultaneously, often accompanied by fire-sales of assets. Comerton-Forde et al (2010), Hameed et al (2010), and Ben-David et al (2012), amongst others, provide empirical evidence for this theory in equity markets. However, no study has tested yet this mechanism (which I call 'funding channel') for the co-movements between equity and CDS bidask spreads, as my paper instead does.…”
In this paper I show that the co-movements between bid-ask spreads of equities and credit default swaps vary over time and increase over crisis periods. The co-movements are strongly related to systematic risk factors and to the theoretical debt-to-equity hedge ratio. I document that hedging and asymmetric information, besides higher funding costs and market volatility risk, are driving factors of the commonality and are significantly priced in CDS bid-ask spreads.
“…18 [43] finds that lagged NYSE specialist inventories and trading revenues predict market liquidity. According to their study, specialists usually earn positive trading revenue on intraday round-trip transactions but are more exposed to the possibility of losses on inventories held for longer periods such as overnight.…”
Section: Inventory Managementmentioning
confidence: 99%
“…One market has four uninformed traders while the other has only two un-informed traders. 43 In one block of 10 trials, each market maker is required to participate in only one market (i.e. low attention constraints environment).…”
This paper uses an experimental electronic market to investigate the effect of limited attention on the market maker's ability to provide liquidity and, thus, on aggregate market liquidity. I find that higher demands on the market maker's attention worsen her ability to provide liquidity but do not reduce the aggregate level of market liquidity. This effect is only significant in less active markets. Furthermore, the aggregate level of market liquidity remains unaltered across both highly active and inactive markets, suggesting a reactive strategy by informed traders who step in to compete with market makers during high information intensity periods when their attention allocation efforts are compromised. In fact, in markets with a higher information value, the effect of attention constraints on the liquidity provision ability of market makers is greater. This implies that informed traders may not only exploit their informational advantage against uninformed traders but they may also use it to reap a higher share of liquidity-based profits. Finally, the market maker's trading performance measured by her profit share and ability to manage her inventory worsens when demands on her attention are greater.
“…The confirmation of relationship between spreads and market makers activity brought first significant results. Specialist firmlevel spreads are getting wider when specialists hold large positions or loose money (Comerton-Forde, 2010). Co-movement of liquidity is stronger among stocks listed on NYSE, which are traded by the same specialist company (Coughenour 2004).…”
HRUŠKA JURAJ. 2016. Aggressive and Defensive High-Frequency Trading and its Impact on Liquidity of German Stock Market. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 64(6): 1911Brunensis, 64(6): -1918 Algorithmic trading and especially high frequency trading is the concern of the current research studies as well as legislative authorities. It is also the subject of criticism mostly from low frequency traders and long-term institutional investors. This is due to several cases of market manipulation and flash crashes in the previous years. Advocates of this trading mechanism claim that it has large positive influence on the market, such as liquidity growth by lowering spreads and others. This paper is focused on testing the relationship between market liquidity of shares traded on Frankfurt Stock Exchange and HFT activity on European stock markets. Author proposes own methodology for measuring dynamics in HFT activity, without knowledge of original market messages. Liquidity is measured by various from of price spreads. Econometrical methods for panel regression are used to determine these relations. Results of this paper will reveal the relevance of the HFT trader's main argument about creating liquidity and hence reducing market risks related with high spreads and low number of limit orders.
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