186,425 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
Stock returns and foreign investment in Brazil
No full textWe examine the relationship between stock returns and foreign investment in Brazil, and find that the inflows of foreign investment boosted the returns from 1995 to 2005. There was a strong contemporaneous correlation, although not Granger-causality. Foreign investment along with the exchange rate, the influence of the world stock markets, and country risk can explain 73 percent of the changes that occurred in the stock returns over the period. We also find that positive feedback trading played a role, and that the market promptly assimilated new information.stock returns; foreign investment; Brazilian economy
Dispelling the Myths Behind First-author Citation Counts
No full textWe 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
Do European Stock Markets Affect Latin American Stock Markets?
No full textIn this study, we examine the response of Latin American stock markets to movements in European stock markets using VAR models. Our results vary depending on the openness of the country in terms of international trade. We find evidence that Latin American stock markets are responsive to changes in the stock market from Spain. Additionally, during the second and third subperiods, Spain has much stronger ties with Brazil, and this might explain why Brazil responds more to the shocks originating from Spain than from France. In conclusion, this study uncovers two important findings. First, Spain influences Latin American markets but these responses are not homogeneous across markets. Second, the influence of Spain has different magnitude in the three subperiods.Emerging Markets, Latin America, Stock Markets Interdependence, VAR
Cross-Autocorrelation of Dual-Listed Stock Portfolio Returns: Evidence from the Chinese Stock Market
No full textIn this paper, we apply a GARCH model to examine the cross-autocorrelation pattern between daily returns of portfolios composed of dual-listed stocks in Chinese stock market, before and after China opened its once foreign-exclusive B-share market. A lead-lag relationship between the A-share and B-share portfolio returns is identified during our sample periods, with the A-share portfolio leading the B-share portfolio. Upon the opening of B-share market, a change from underreaction to overreaction is found in the response pattern of B-share market, producing a rarely seen negative cross-autocorrelation. The results of two additional tests are reported. First, by decomposing the portfolio return into portfolio-specific and market-wide returns, we find that the market-wide information contained in A-share portfolio return is strongly associated with the cross-autocorrelation structure. Second, we document a directional asymmetry in which B-share portfolio shows either slow or over response to bad, but not good, news of A-share portfolio. We conclude that information asymmetry alone is not enough to explain the lead-lag relationship, and investor behavior must be taken into considerationCross-Autocorrelation, Segmented Stock Markets, Dual-Listed Stocks, Market-Wide and Portfolio-Specific Information.
Untangling the nexus of stock price and trading volume: evidence from the Chinese stock market
No full textThis paper explores the linear and non-linear causal relationship between stock price and trading volume in China. The empirical results substantiate that there is a long-run level equilibrium relationship between the stock price and trading volume in China. The results from the linear causality tests indicate that there is unidirectional causality running from price to volume for the case of Shanghai B and Shenzhen B shares in the short-run, but there is a bidirectional causal relation between price and volume for the case of Shanghai A share and Shenzhen A share. In the results of the non-linear Granger causality, evidence shows that there is neutral price-volume relation for Shanghai B share. However, there is a bidirectional non-linear price-volume causal relation for the case of Shanghai A share and Shenzhen A share. For the case of Shenzhen B share, there is a unidirectional non-linear Granger causal relationship running from the stock price to the trading volume.Price
Stock market development and financial intermediaries : stylized facts
No full textWorld stock markets are booming. Between 1982 and 1993, stock market capitalization grew from 10 trillion, an average 15 percent a year. A disproportionate amount of this growth was in emerging stock markets, which rose from 3 percent of world stock markets capitalization to 14 percent in the same period. Yet there is little empirical evidence about how important stock markets are to long-term economic development. Economists have neither a common concept nor a common measure of stock market development, so we know little about how stock market development affects the rest of the financial system or how corporations finance themselves. The authors collected and compared many different indicators of stock market development using data on 41 countries from 1986 to 1993. Each indicator has statistical and conceptual shortcomings, so they used different measures of stock market size, liquidity, concentration, and volatility, of institutional development, and of international integration. Their goal: to summarize infromation about a variety of indicators for stock market development, in order to facilitate research into the links between stock markets, economic development, and corporate financing decisions. They highlight certain important correlations: (i) In the 41 countries they studied, there are enormous cross-country differences in the level of stock market development for each indicator. The ratio of market capitalization to the gross domestic product (GDP), for example, is greater than 1 in five countries and less than 0.10 in five others. (ii) There are intuitively appealing correlations among indicators. For example, big markets tend to be less volatile, more liquid, and less concentrated in a few stocks. Internationally integrated markets tend to be less volatile. And institutionally developed markets tend to be large and liquid. (iii) The three most developed markets are in Japan, the United Kingdom, and the United States. The most underdeveloped markets are in Colombia, Nigeria, Venezuela, and Zimbabwe. Malaysia, the Republic of Korea, and Switzerland seem to have highly developed stock market, whereas Argentina, Greece, Pakistan and Turkey have underdeveloped in richer countries, but many markets commonly labeled"emerging"(for example, in Korea, Malaysia,and Thailand) are systematically more developed than markets commonly labeled"developed"(for example, in Australia, Canada, and many European countries). (iv) Between 1986 and 1993, some markets developed rapidly in size, liquidity, and international integration. Indonesia, Portugal, Turkey, and Venezuela experienced explosive development, for example. Case studies on the reasons for (and economic consequences of) this rapid development could yield valuable insights. (v) The level of stock market development is highly correlated with the development of banks, nonbank financial institutions (finance companies, mutual funds, brokerage houses), insurance companies, and private pension funds.Markets and Market Access,Economic Theory&Research,Health Economics&Finance,Payment Systems&Infrastructure,Banks&Banking Reform,Economic Theory&Research,Health Economics&Finance,Access to Markets,Markets and Market Access,Banks&Banking Reform
Bubbles, Fads, and Stock Price Volatility Tests: A Partial Evaluation
No full textThis is a summary and interpretation of some of the literature on stock price volatility that was stimulated by Leroy and Porter (1981) and Shiller (1981a). It appears that neither small sample bias, rational bubbles nor some standard models for expected returns adequately explain stock price volatility. This suggests a role for some nonstandard models for expected returns. One possibility is "fads" models in which noise trading by naive investors is important. At present, however, there is little direct evidence that such fads play a significant role in stock price determination.
Strategies For Modification Of Space In Building Stock
No full textRapid social-economic development causes rapid functional upgrading and transformation in architecture. A
mismatch between space and new functions emerges in some buildings with resultant accumulation of
building stock. Activating this building stock necessitates relevant modification of space. General strategies
for modification of space should be tailored to the specific modification practices.
This essay elaborates on case studies of four spatial modification processes in building stock and evaluates
their functional capacities before and after modifications. From the results of the studies the article
summarizes three general strategies for modification of space in building stock.link_to_OA_fulltex
Market segmentation and dual-listed stock price premium - an empirical investigation of the Chinese stock market
No full textThis thesis comprises, firstly, a careful and detailed description of the institutional workings of the Chinese stock market; secondly, a literature review of the Chinese segmented markets and dual-listed shares price premium; and thirdly, three evidence-based contributions designed to cast new light on the Chinese A-shares premium puzzle. Publicly-listed firms in China, under certain criteria, can issue two different types of shares, namely A-shares and B-shares, to local and foreign investors respectively. These shares carry the same rights and obligations, but are however priced differently due to market segmentation. After a review of the literature on determinants of the premium, the first contribution offers a complementary explanation. I propose that the premium reflects the difference in valuation preferences between the local and foreign investors, i.e., local investors pay more attention to stock liquidity, while foreign investors pay more attention to firm’s intrinsic value, and so firms having more favorable fundamentals tend to have lower premia. The second contribution involves the examination of a controversial question that which investor group is better informed about local assets, by testing the direction of information flows between the A- and B-shares markets. Both time series methods, and panel data techniques which are used for the first time in this context, are employed, in order to get a distinct and more insightful picture against the current literature. The third contribution compares and contrasts institutional settings of China, Singapore and Thailand which have similar market segmentation and dual-listing systems; examines whether or not the premia in the three countries are caused by same factors; and tries to answer why foreign investors in China pay less, rather than more, as commonly observed in other segmented markets, for identical assets. It provides the first cross-country comparison evidence after 1999 with updated data
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