160,453 research outputs found
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
Irish Car Stock Model V 2.4
No full textLatest release of the Irish Car Stock Model Version 2.4
The Irish Car Stock Model was first developed by Daly and Ó Gallachoir (2011a), entitled "Modelling private car energy demand using a technological car stock model". It is available at: https://doi.org/10.1016/j.trd.2010.08.009.
Future scenarios were explored in Daly and Ó Gallachoir (2011b) entitled "Modelling future private car energy demand in Ireland", and is available at: https://doi.org/10.1016/j.enpol.2011.09.027
Further updates to the Irish Car Stock Model were developed by Mulholland et al. (2017), the article entitled "Techno-economic data for a multi-model approach to decarbonisation of the Irish private car sector" is available at: https://doi.org/10.1016/j.dib.2017.10.006.
Latest update is led by Vera O'Riordan, Hannah Daly, Fionn Rogan and Brian Ó Gallachóir.
Included in this repository is the latest version of the Irish Car Stock Model 2.4, current updates to the Irish Car Stock Model V 2.5 are ongoing.
For queries, errors and omissions please contact: [email protected]
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
Investing in Czech Stock Market Based on Fundamental Analysis
No full textThe aim of the thesis is focusing on the fundamental analysis, which can be used for purchasing stocks on the Czech market. The first part of the work is about specifics of stock companies so as about the stock market in the Czech Republic. The second chapter dedicates to the fundamental analysis itself. Finds levels of fundamental analysis - global, sectoral and corporate. In the practical part, the author analyzes five stock titles and compares them with the current market price.V této diplomové práci se autor zajímá o fundamentální analýzu, kterou využije při nákupu akcií na českém trhu. První část práce je zaměřena na specifika akciových společností a akciového trhu v České republice. Druhá kapitola je věnována samotné fundamentální analýze. Zkoumá prvky fundamentální analýzy globální, odvětvové a v závěru i podnikové. V praktické části autor analyzuje pět akciových titulů a porovnává s aktuální cenou na trhu
Analysis of Stock Exchange Data
No full textPráce charakterizuje burzovní prostředí, systém a jeho základní principy fungování. Dále se zaměřuje na burzovní data a metody analýzy těchto dat. Autor postupně osvětluje vývoj technické analýzy od klasických teorií a grafických metod přes moderní grafické metody a technické indikátory až po nejnovější analytické metody, tzv. umělou inteligenci. V praktické části se pak autor věnuje predikci reálného burzovního trhu pomocí metod umělé inteligence s využitím poznatků moderní technické analýzy.The thesis describes the stock exchange environment, the system and its basic operating principles. The thesis further focuses on the stock exchange data and its analysis. The author describes the development of the technical analysis; he mentions the classical theory and the classical graphical methods, the modern graphical methods, the technical indicators and finally the latest analytical methods, the so-called Artificial Intelligence. The research focuses on the real stock market prediction using the artificial intelligence methods and knowledge of the modern technical analysis
Stock markets behaviour
No full textkatedra: KFÚ; rozsah: 80 s. 11s. přílohThis theses characterizes the main parts of the stock market in the United States of America and in the Czech Republic and examines the posible impact and influences of the macroeconomical factors on the movement of share prices. The first part of the theses describes development and activity of the Prague Stock Exchange and the New York Stock Exchange which are the most important organizations in this given stock market area. In the second part the author analyzes the influence of chosen macroeconomical quantities on the development of PX and DJIA indexes because these indexes adequately reflect the process on the stock markets. On the basis of time series correlation analysis he is trying to express the strenght of the relevant influences and to assess the achieved results. In this theses the author came into the conclusion that both of the monitored stock markets are really influenced by macroeconomical factors to a certain extent. The result is that every investor should take into consideration the important impact and influence of these factors while implementing their investments.Tato práce charakterizuje hlavní složky akciového trhu v USA a České republice a zkoumá možné vlivy především makroekonomických faktorů na pohyby akciových kurzů. První část zahrnuje vývoj a činnost Burzy cenných papírů Praha a New York Stock Exchance, jakožto nejvýznamnějších organizací v daném akciovém trhu. V druhé části autor analyzuje vliv vybraných makroekonomických veličin na vývoj indexů PX a DJIA, které plnohodnotně odrážejí průběh na příslušných akciových trzích. Na základě korelační analýzy časových řad se snaží vyjádřit sílu relevantních vlivů a vyhodnotit dosažené výsledky. Autor v této práci dospěl k závěru, že oba sledované akciové trhy jsou do jisté míry skutečně ovlivňovány makroekonomickými faktory. Každý investor by při realizaci svých investic na akciových trzích měl vzít v úvahu podstatný vliv těchto faktorů
Employee Stock Purchase Plans
No full textEmployee stock purchase plans (ESPPs) are designed to promote employee stock ownership broadly within the firm and provide another tax-deferred vehicle for individual capital accumulation in addition to traditional pensions, 401(k)s, and stock options. We outline the individual and corporate tax treatment of ESPPs and the circumstances under which ESPPs will be preferred to cash compensation from a purely tax perspective. We then examine empirically ESPP participation using administrative data from 1997-2001 for a large health services company that employs approximately 30,000 people. The picture that emerges from the analysis of these data suggests that there is substantial non-participation in these plans even though all employees could increase gross compensation through participation. We discuss a number of potential explanations for non-participation.
Stock return, risk and asset pricing
No full textThis thesis attempts to address a number of issues that have been identified in the asset pricing literature as essential for shaping stock returns. These issues include the need to uncover the link between the macroeconomic variables and stock returns. In addition to this, is the need to decide, in light of the findings of the literature, whether to advise investors to include idiosyncratic risk and downside risk as risk factors in their asset pricing models. The results presented here suggest, consistent with other previous studies, that stock returns are a function of a number of previously identified risk factors along with the wider set of macroeconomic variables. These macroeconomic variables could be represented by a number of estimated macro factors. However, only one of these estimated factors emerged as significant in explaining the cross-section of stock returns. Nevertheless, it is important to note that the size (SMB) and value (HML) factors remain important factors in explaining the cross sectional returns on UK stocks, even with the existence of the other risk factors. This finding of inability of the examined macroeconomic variables to capture the pricing power of the SMB and the HML may cast doubt on the possibility of finding more macroeconomic factors that are able to account for these two factors in the cross section of returns in the UK. Interestingly, this conclusion seems to contradict previous authors' findings of potential links in the UK market. The results also support past studies that find that downside risk is an important risk factor and by allowing the downside risk premium to vary with business cycle conditions, downside risk might be a better measure of risk than market risk. Nevertheless, this thesis shows that although this finding is applicable in times of economic expansion, during recession, there is no conclusive relationship between . downside risk and stock returns. Furthermore, this thesis supports the studies which find that idiosyncratic risk is not significant in pricing stocks. However in contrast to other studies, it reveals this by showing that time-varying risk could be the reason behind the potentially illusive findings of idiosyncratic risk effect. This thesis confirms that, for London Stock Exchange investors, macroeconomic variables should never be overlooked when estimating stock returns and downside risk could be an influential risk factor
Records of Stock Exchange of Melbourne Ltd
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/64376The Stock Exchange Official Record, 1934-1968. Catalogued into the University of Melbourne Library Catalogue under
call number UniM Archives 332.64294 STOC, v.19, 1926 - v.55, 1962. Please request using call number and year114451
Acquisition: [1972.0022] "Records of Stock Exchange of Melbourne Ltd
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