
on Market Microstructure 
By:  Yoshida, Yushi; Susai, Masayuki 
Abstract:  Most limit orders exit the market as cancellations or revisions without a transaction. Using the EBS dataset, we can measure how long an individual limit order remains in the foreign exchange (FX) market. Thus, we use the measured lifetimes of canceled limit orders and find that postorderplacement changes in market price and limit order book depth affect cancellations, consistent with optimal behaviors that consider both order placement and order exit. FX dealers cancel their limit orders faster as the depth increases at better quotes. When market prices move away from their submitted quotes, patient dealers exhibit greater forbearance for their worsened position. 
Keywords:  Foreign exchange market; Lifetime; Limit order; Market microstructure; Order book. 
JEL:  F31 G12 G14 G15 
Date:  2016–03–25 
URL:  http://d.repec.org/n?u=RePEc:pra:mprapa:70291&r=mst 
By:  Vladislav Gennadievich Malyshkin; Ray Bakhramov 
Abstract:  Commonly used limit order book attributes are empirically considered based on NASDAQ ITCH data. It is shown that some of them have the properties drastically different from the ones assumed in many market dynamics study. Because of this difference we propose to make a transition from "Statistical" type of order book study (typical for academics) to "Dynamical" type of study (typical for market practitioners). A computer code, providing full depth order book information and recently executed trades is available from authors [1]. 
Date:  2016–03 
URL:  http://d.repec.org/n?u=RePEc:arx:papers:1603.05313&r=mst 
By:  Curatola, Giuliano 
Abstract:  This paper introduces endogenous preference evolution into a Lucastype economy and explores its consequences for investors' trading strategy and the dynamics of asset prices. In equilibrium, investors herd and hold the same portfolio of risky assets which is biased toward stocks of sectors that produce a socially preferred good. Pricedividend ratios, expected returns and return volatility are all time varying. In this way, preference evolution helps rationalize the observed underperformance and local biases of investors' portfolios and many empirical regularities of stock returns such a time variation, the valuegrowth effect and stochastic volatility. 
Keywords:  asset pricing,general equilibrium,heterogeneous investors,interdependent preferences,portfolio choice 
JEL:  D51 D91 E20 G12 
Date:  2016 
URL:  http://d.repec.org/n?u=RePEc:zbw:safewp:128&r=mst 
By:  Richard J Martin 
Abstract:  The theory of optimal trading under proportional transaction costs has been considered from a variety of perspectives. In this paper, we show that all the results can be interpreted using a universal law, illustrating the results in trading algorithm design. 
Date:  2016–03 
URL:  http://d.repec.org/n?u=RePEc:arx:papers:1603.06558&r=mst 
By:  Warusawitharana, Missaka 
Abstract:  While many studies find that the tail distribution of high frequency stock returns follow a power law, there are only a few explanations for this finding. This study presents evidence that timevarying volatility can account for the power law property of high frequency stock returns. The power law coefficients obtained by estimating a conditional normal model with nonparametric volatility show a striking correspondence to the power law coefficients estimated from returns data for stocks in the Dow Jones index. A crosssectional regression of the data coefficients on the modelimplied coefficients yields a slope close to one, supportive of the hypothesis that the two sets of power law coefficients are identical. Further, for most of the stocks in the sample taken individually, the modelimplied coefficient falls within the 95 percent confidence interval for the coefficient estimated from returns data. 
Keywords:  Tail distributions ; high frequency returns ; power laws ; timevarying volatility 
JEL:  C58 D30 G12 
Date:  2016–03–18 
URL:  http://d.repec.org/n?u=RePEc:fip:fedgfe:201622&r=mst 
By:  Yoann Potiron 
Abstract:  In this paper, we give a general timevarying parameter model, where the multidimensional parameter follows a continuous local martingale. As such, we call it the locally parametric model. The quantity of interest is defined as the integrated value over time of the parameter process $\Theta := T^{1} \int_0^T \theta_t^* dt$. We provide a local parametric estimator of $\Theta$ based on the original (non timevarying) parametric model estimator and conditions under which we can show consistency and the corresponding limit distribution. We show that the LPM class contains some models that come from popular problems in the highfrequency financial econometrics literature (estimating volatility, highfrequency covariance, integrated betas, leverage effect, volatility of volatility), as well as a new general assetprice diffusion model which allows for endogenous observations and timevarying noise which can be autocorrelated and correlated with the efficient price and the sampling times. Finally, as an example of how to apply the limit theory provided in this paper, we build a timevarying friction parameter extension of the (semiparametric) model with uncertainty zones (Robert and Rosenbaum (2012)), which is noisy and endogenous, and we show that we can verify the conditions for the estimation of integrated volatility. 
Date:  2016–03 
URL:  http://d.repec.org/n?u=RePEc:arx:papers:1603.05700&r=mst 
By:  Claudio Altafini 
Abstract:  Geometric phases describe how in a continuoustime dynamical system the displacement of a variable (called phase variable) can be related to other variables (shape variables) undergoing a cyclic motion, according to an area rule. The aim of this paper is to show that geometric phases can exist also for discretetime systems, and even when the cycles in shape space have zero area. A context in which this principle can be applied is stock trading. A zeroarea cycle in shape space represents the type of trading operations normally carried out by highfrequency traders (entering and exiting a position on a fast timescale), while the phase variable represents the cash balance of a trader. Under the assumption that trading impacts stock prices, even zeroarea cyclic trading operations can induce geometric phases, i.e., profits or losses, without affecting the stock quote. 
Date:  2016–03 
URL:  http://d.repec.org/n?u=RePEc:arx:papers:1603.05513&r=mst 
By:  Liu, Yuna (Department of Economics, Umeå University) 
Abstract:  The impact of the stock market mergers that took place in the Nordic countries during 2000 – 2007 on the probabilities for stock price jumps, i.e. for relatively extreme price movements, are studied. The main finding is that stock market mergers, on average, reduce the likelihood of observing stock price jumps. The effects are asymmetric in the sense that the probability of sudden price jumps is reduced for large and medium size firms whereas the effect is ambiguous for small size firms. The results also indicate that the market risk has been reduced after the stock market consolidations took place. 
Keywords:  Tests for jumps; International financial markets; Market structure; Integration; Common trading platform; Mergers; Acquisitions 
JEL:  C22 C51 C58 G15 G34 L10 
Date:  2016–03–16 
URL:  http://d.repec.org/n?u=RePEc:hhs:umnees:0925&r=mst 