Modelling and forecasting liquidity supply using semiparametric factor dynamics

We model the dynamics of ask and bid curves in a limit order book market using a dynamic semiparametric factor model. The shape of the curves is captured by a factor structure which is estimated nonparametrically. Corresponding factor loadings are assumed to follow multivariate dynamics and are modelled using a vector autoregressive model. Applying the framework to four stocks traded at the Australian Stock Exchange (ASX) in 2002, we show that the suggested model captures the spatial and temporal dependencies of the limit order book. Relating the shape of the curves to variables reflecting the current state of the market, we show that the recent liquidity demand has the strongest impact. In an extensive forecasting analysis we show that the model is successful in forecasting the liquidity supply over various time horizons during a trading day. Moreover, it is shown that the model’s forecasting power can be used to improve optimal order execution strategies

Multistate asymmetric ACD model: an application to order dynamics in the EUR/PLN spot market

This paper examines a process of order submissions and cancellations in the interbank order driven market of the EUR/PLN currency pair. Our contribution to the existing literature is twofold. We generalize the Asymmetric ACD model (AACD) of Bauwens & Giot (2003) with respect to more than two competing risks. It results in the flexible multistate econometric model for durations between moments in which order submissions or cancellations take place. Thanks to the Multistate AACD model we are able to examine timing of order submissions/cancellations that (1) take place on different sides of the market and (2) vary according to the level of order aggressiveness. We show how to simulate from the proposed Multistate Asymmetric ACD model, which enables us to study the transition probabilities between selected events. We investigate different market microstructure factors that exert an influence on the intraday pattern of order submission or cancellation strategies.asymmetric ACD model, order dynamics, intraday liquidity

The microstructure approach to exchange rates: a survey from a central bank’s viewpoint

The application of the market microstructure theory to foreign exchange markets in the last few years has introduced a new approach to the analysis of exchange rates. The most important variable of the microstructure analysis, the so-called order flow has proven to be suitable for explaining a significant part of exchange rate changes, not only for high frequency data, but also at longer time horizons that are relevant for macro-economic analysis. Microstructure theory is thus extremely successful from an empirical point of view, especially when compared to traditional exchange rate models. The aim of our study is to provide an introduction to the microstructure-based analysis of exchange rates, emphasising those aspects which may be the most relevant for central banks. In addition to an introduction to the theoretical background of the microstructure approach and the presentation of the key empirical results, we also intend to cast light upon the questions which are important for central banks and which can be tackled successfully using this framework. On the basis of the literature's findings, we present the answers given by the microstructure approach to, among others, questions concerning the efficiency of central bank intervention, the effects of economic news on exchange rates, and the role of different currency market participants in exchange rate developments.exchange rate, order flow, microstructure.

The Price Impact of Order Book Events

We study the price impact of order book events - limit orders, market orders and cancelations - using the NYSE TAQ data for 50 U.S. stocks. We show that, over short time intervals, price changes are mainly driven by the order flow imbalance, defined as the imbalance between supply and demand at the best bid and ask prices. Our study reveals a linear relation between order flow imbalance and price changes, with a slope inversely proportional to the market depth. These results are shown to be robust to seasonality effects, and stable across time scales and across stocks. We argue that this linear price impact model, together with a scaling argument, implies the empirically observed "square-root" relation between price changes and trading volume. However, the relation between price changes and trade volume is found to be noisy and less robust than the one based on order flow imbalance

Information in the term structure of yield curve volatility

We study information in the volatility of US Treasuries. We propose a no-arbitrage term structure model with a stochastic covariance of risks in the economy, and estimate it using high-frequency data and options. We identify volatilities of the expected short rate and of the term premium. Volatility of short rate expectations rises ahead of recessions and during stress in financial markets, while term premium volatility increases in the aftermath. Volatile short rate expectations predict economic activity independently of the term spread at horizons up to one year, and are related to measures of monetary policy uncertainty. The term premium volatility comoves with a more general level of economic policy uncertainty. We also study channels through which volatility affects model-based inference about the yield curve

The Market Impact of a Limit Order

Despite their importance in modern electronic trading, virtually no systematic empirical evidence on the market impact of incoming orders is existing. We quantify the short-run and long-run price effect of posting a limit order by proposing a high-frequency cointegrated VAR model for ask and bid quotes and several levels of order book depth. Price impacts are estimated by means of appropriate impulse response functions. Analyzing order book data of 30 stocks traded at Euronext Amsterdam, we show that limit orders have significant market impacts and cause a dynamic (and typically asymmetric) rebalancing of the book. The strength and direction of quote and spread responses depend on the incoming orders’ aggressiveness, their size and the state of the book. We show that the effects are qualitatively quite stable across the market. Cross-sectional variations in the magnitudes of price impacts are well explained by the underlying trading frequency and relative tick size.price impact, limit order, impulse response function, cointegration

The Impact of the Japanese Banking Crisis on the Intraday FX Market

Using the tick-by-tick yen/dollar exchange rate, this paper examines the effect of Japanese banking crisis in late 1997 on the foreign exchange market. By high-frequency methodology, GARCH estimation and variance-ratio tests, the existence of a structural break in the foreign exchange market at the onset of the crisis is detected. We show a reversed pattern in return volatility after the series of bankruptcies. From the microstructure analysis, it is found that the change in exchange rate dynamics can be attributed to a change in strategic foreign exchange trade behavior. The result provides new insights into the trading activities of market makers at the onset of bank failuresIntraday exchange rate, Banking crisis, GARCH, microstructure