1,721,085 research outputs found
Random Walk or A Run: Market Microstructure Analysis of the Foreign Exchange Rate Movements based on Conditional Probability
Using tick-by-tick data of the dollar-yen and euro-dollar exchange rates recorded in the actual transaction platform, a "run" -- continuous increases or decreases in deal prices for the past several ticks -- does have some predictable information on the direction of the next price movement. Deal price movements, that are consistent with order flows, tend to continue a run once it started i.e., conditional probability of deal prices tend to move in the same direction as the last several times in a row is higher than 0.5. However, quote prices do not show such tendency of a run. Hence, a random walk hypothesis is refuted in a simple test of a run using the tick by tick data. In addition, a longer continuous increase of the price tends to be followed by larger reversal. The findings suggest that those market participants who have access to real-time, tick-by-tick transaction data may have an advantage in predicting the exchange rate movement. Findings here also lend support to the momentum trading strategy.
Effects of Japanese Macroeconomic Announcements on the Dollar/Yen Exchange Rate: High-Resolution Picture
Market impacts of Japanese macroeconomic announcements within minutes on the dollar/yen foreign exchange are analyzed. High-frequency data collected from the actual trading platform, EBS, are used. First, impacts on returns are analyzed. Macroeconomic statistics releases that consistently had significant effects on exchange rate returns include Tankan survey (a short-term business survey conducted by Bank of Japan), GDP, industrial production (preliminary), PPI, CPI (Tokyo area), the unemployment rate and Balance of Payment statistics. Macroeconomic statistics releases that did not have impacts on returns include Trade Balance, Retail Sales and Housing start indicators. Second, for most of macroeconomic news items whose surprise components have return impacts also have impacts on deals and volatility. The announcement itself, in addition to the magnitude of surprise, is found to increase the deals and price volatility in the immediately after the announcement. In addition, some other items have no return impacts but deals and volatility impacts. These facts are consistent with a view that market participants have heterogeneous information, so that even without any price change, trades take place. Price discovery process may require some transactions with price fluctuations around new price level consistent with statistical announcement
Mobile Press-Register sleeve MP0050439
Yuko Hashimoto, exchange student / (Foley High School
Role Reversal in Global Finance
I document that emerging markets have cast off their “original sin”--their external liabilities are no longer dominated by foreign-currency debt and have instead shifted sharply towards direct investment and portfolio equity. Their external assets are increasingly concentrated in foreign exchange reserves held in advanced economy government bonds. Given the enormous and rising public debt burdens of reserve currency economies, this means that the long-term risk on emerging markets’ external balance sheets is shifting to the asset side. However, emerging markets continue to look for more insurance against balance of payments crises, even as self-insurance through reserve accumulation itself becomes riskier. I discuss a possible mechanism for global liquidity insurance that would meet emerging markets’ demand for insurance with fewer domestic policy distortions while facilitating a quicker adjustment of global imbalances. I also argue that emerging markets have become less dependent on foreign finance and more resilient to capital flow volatility. The main risk that increasing financial openness poses for these economies is that capital flows exacerbate vulnerabilities arising from weak domestic policies and institutions.
Role Reversal in Global Finance
I document that emerging markets have cast off their "original sin" – their external liabilities are no longer dominated by foreign-currency debt and have instead shifted sharply towards direct investment and portfolio equity. Their external assets are increasingly concentrated in foreign exchange reserves held in advanced economy government bonds. Given the enormous and rising public debt burdens of reserve currency economies, this means that the long-term risk on emerging markets' external balance sheets is shifting to the asset side. However, emerging markets continue to look for more insurance against balance of payments crises, even as self-insurance through reserve accumulation itself becomes riskier. I propose a mechanism for global liquidity insurance that would meet emerging markets' demand for insurance with fewer domestic policy distortions while facilitating a quicker adjustment of global imbalances. I also argue that emerging markets have become less dependent on foreign finance and more resilient to capital flow volatility. The main risk that increasing financial openness poses for these economies is that capital flows exacerbate vulnerabilities arising from weak domestic policies and institutions.emerging markets, international investment positions, structure of external assets and liabilities, foreign exchange reserves, global liquidity insurance
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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