اطلاعیه ها، فعالیت بازار و نوسانات در بازار ارز یورو / دلار
|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|14949||2005||18 صفحه PDF||سفارش دهید||محاسبه نشده|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Journal of International Money and Finance, Volume 24, Issue 7, November 2005, Pages 1108–1125
We study the impact of nine categories of scheduled and unscheduled news announcements on the euro/dollar return volatility. We highlight and analyze the pre-announcement, contemporaneous and post-announcement reactions. Using high-frequency intraday data and within the framework of ARCH-type models, we show that volatility increases in the pre-announcement periods, particularly before scheduled events. Market activity also significantly impacts return volatility as expected by the theoretical literature on the order flow.
The impact of information on the volatility of foreign exchange (FOREX) returns has been theoretically and empirically studied in several papers, e.g. Degennaro and Shrieves, 1997, Andersen and Bollerslev, 1998, Evans and Lyons, 1999 and Melvin and Yin, 2000 and Cai et al. (2001). As stressed in the literature on market microstructure (see O'Hara, 1995), the ‘information’ variable includes both a public and a private component. Regarding the market microstructure of the FOREX, both public and private components are strongly related to currency market news announcements. The public component is made up of announcements which take place at fixed times (which we call scheduled public announcements), or at random times (unscheduled public announcements). Regarding private information, the most recent literature on the microstructure of exchange rates allows for two types of private information. Firstly, some market participants could have access to yet unreleased information by central banks or government agencies (i.e. payoff related private information in the terminology used by Lyons, 2001). Secondly, the notion of private information can be extended to include the so-called unrelated payoff information, i.e. private information that a dealer has regarding interim states of the market (for example, a dealer knows that another dealer is keen on selling a large euro/dollar position, which should depress prices in the short run). Because this second possibility is the most probable type of private information event in the FOREX market, private information is strongly related to order flow between traders and their customers.3 With respect to the previous literature on FOREX volatility about the impact of news announcements, the aim of this paper is twofold. Firstly, we analyze the impact of a more refined and extended set of nine categories of news announcements on FOREX volatility in the new euro/dollar market. Secondly, we investigate the volatility dynamics before, during and after scheduled and unscheduled news announcements. The contribution of our research therefore consists in assessing the previous results on the new euro/dollar market and extending these by distinguishing between the impact on volatility of scheduled and unscheduled news in three time periods centered around the release of the news, i.e. the pre-announcement, contemporaneous, and post-announcement periods. We focus more particularly on the reaction of volatility in the pre-announcement periods as this topic has not yet been dealt with extensively in the existing literature. Taking into account the specific features of public and private information, the news impact on volatility can take place both before and after the announcement. In the case of scheduled news announcements, volatility increases in the pre-announcement period could be due to anticipatory trades by dealers who open positions to profit from some personal beliefs, i.e. they hope that the actual news outcome will coincide with their forecast of the outcome. A post-announcement volatility increase can be attributed to heterogeneity of interpretations of the contents of the news, surprised reactions and closing of positions based on prior anticipations. On the other hand, in the case of unscheduled news announcements, an increase in volatility before the announcement is probably linked, as suggested by Degennaro and Shrieves (1997), to the presence of informed traders who exploit their privileged information. The econometric analysis is performed on a high-frequency data set of 5-min regularly time-spaced FOREX euro/dollar quotes. The time period ranges from May 15 to November 14, 2001. Our database also includes the news headlines that were released on the Reuters news-alert screens. Regarding these news announcements, we consider a much larger set of news events (classified into nine general categories) than those used in the previous literature. Furthermore, to highlight the effect of the possible ‘surprise’ contained in the most important scheduled US macroeconomic figures, we distinguish between so-called positive and negative news (by computing the difference between expected and realized values). As in the previous literature, we also take into account the effect of private information (proxied by the deseasonalized quoting frequency) on the volatility of the euro/dollar returns. More generally, the focus of this work is therefore on the economic determinants of the euro/dollar return volatility with particular attention to the links between the information flow and the market reactions measured by volatility and quoting frequency. We use an EGARCH model where we control for intraday seasonality, news arrival (represented by dummy variables) and quoting frequency. Our results show that the euro/dollar return volatility increases before the announcement of scheduled news. We surmise that speculative/anticipatory trades, the possible flow of private information or the re-balancing of positions by traders who prefer to avoid announcement ‘surprises’ lead to this increase in volatility. When an announcement is not scheduled, the evidence of volatility increase during the pre-announcement phase is tenuous, except for rumors of central bank interventions. Moreover, for four categories of announcements, volatility increases in total over the pre-announcement and post-announcement periods. The follow-up of this paper is divided in four sections. In Section 2 we present a brief review of the empirical market microstructure issues related with FOREX news announcements and quote volatility. In Section 3 we describe our data. We present our models and we discuss the estimation results in Section 4. We conclude in Section 5.
نتیجه گیری انگلیسی
Using 5-min high-frequency data for the May 15–November 14, 2001 time period combined with a Reuters news database, we shed light on the impact of news announcements and private information on the volatility of euro/dollar FOREX returns. Regarding the news releases, we highlight the impact of both scheduled and unscheduled news announcements and focus on the reaction of volatility in the pre-announcement periods. We also take into account FOREX private information, proxied by the level of deseasonalized market activity. Our results show that the release of scheduled news leads to a pre-announcement rise in volatility. This increase in volatility does not occur in the case of announcements of unscheduled news, except for rumors of central bank intervention. Our interpretation of volatility increases right before the announcement of scheduled news is that these categories of news attract traders who wish to make anticipatory trades based on their personal beliefs. Another result drawn from estimation is that the reaction of volatility in the post-announcement period is in most cases muted. Indeed, most of the news announcements considered in our study have not been followed by significant volatility increases or decreases in the post-announcement period. In addition, the volatility of euro/dollar returns is positively and significantly affected by market activity (adjusted from its seasonal component). This stresses the importance of private information in FOREX markets as a key determinant of volatility, the private information stemming primarily from the flow of orders between traders and their clients.