984 resultados para hedge-funds


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A hazai kis- és középvállalkozások (kkv-k) tőkeellátottságának javítása meghatározó szerepet játszik fejlődésük előmozdításában. Jelen tanulmány az Új Széchenyi Terv (ÚSZT) keretében a vállalkozások rendelkezésére álló pénzügyi eszközök közül a kockázati tőke működését mutatja be. A fejlődésük növekedési ciklusában járó cégek mellett a korai életszakaszukban járó, innovatív tevékenységet folytató, gyors növekedésre képes, de forráshiányos vállalkozások finanszírozásában nyújthat segítséget Magyarországon a 2010-ben elindult JEREMIE Kockázati Tőkeprogram. Az állami és a privát tulajdonban levő piaci szereplők hazánkban újnak mondható együttműködése révén megvalósuló program a magyar kockázatitőke-piac kínálati oldalának bővítését szolgálja, abban az alsó (döntően az 1-1,5 millió EUR/tranzakció alatti) szegmensben, ahol a tisztán piaci alapon működő befektetők korlátozottabb szerepvállalása figyelhető meg, és így a piacon hiány jelentkezik. Az EU-s támogatások ezen új típusú felhasználási formája színesíti és kibővíti a vállalkozások számára elérhető pénzügyi eszközök körét és volumenét, fokozottabb mértékben érvényesül a piaci szemlélet, hiszen verseny van a forrásokért, és verseny van a források kihelyezését végző pénzügyi közvetítő szervezetek között is, mindezek mellett további magánforrások bevonását biztosítja, ösztönzőleg hat a cégek működésére, és a visszaforgó rendszer biztosítja a fenntarthatóságot, a források későbbi újbóli felhasználását is. _______ To improve the capitalization of the domestic small and medium-sized enterprises (SMEs) has a decisive role in promoting development. This study presents the operation of venture capital from the available business financial instruments of the New Széchenyi Plan. In Hungary the JEREMIE Venture Capital Program, which launched in 2010, can help in financing of the rapidly growth, innovative, early life stage companies besides the development cycle of growth companies. This program with new cooperation between the stateowned and private companies enlarge the supply-side of the Hungarian venture capital market, at that the bottom (mostly in the 1 to 1.5 million EUR / transaction below) segment, where can be observed the limited role of the purely market-based investors, and thus there is a shortage in the market. These new type application form of the EU supports enriches and expands the scope and volume of the available financial instruments for the enterprises, the market orientation prevails more broadly, because there is a competition for resources and there is a competition between the resources allocation financial intermediaries,in addition ensures further private resources.

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In corruption, a group of players gain an economic advantage without providing any socially beneficial services in return, therefore corruption is considered to be a form of rent-seeking. Similar to other forms of rent-seeking, corruption causes losses on a societal level, due to the less efficient allocation of resources, as well as the costs of operation and prosecution. Fighting corruption is important not just because of ethical but also economic considerations. Contributions from the European Union are making possible the use of more funds than ever, and spending the full amount of this money is a priority preference of the government. The abundance of funds and the pressure on absorption increase corruption, by the managers of the funds overplanning the amount of money to be allocated to individual tender invitations, setting generous rules on eligible costs, and specifying low rates of own contribution wherever possible. As a result, the opportunities for rent-seeking are increased, as it is worth it for beneficiaries to carry out the project even after relinquishing part of the funds they have been awarded. Thus, the abundance of funds generates a sphere of corruption in which rent-seekers may appear on various levels of the system, often even without the knowledge or approval of those on higher decisionmaking levels.

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This study explored the relationship between social fund projects and poverty reduction in selected communities in Jamaica. The Caribbean nation's social fund projects aim to reduce “public” poverty by rehabilitating and expanding social and economic infrastructure, improving social services, and strengthening organizations at the community level. Research questions addressed the characteristics of poverty-focused social fund projects; the nexus between poverty reduction and three key concepts suggested by the literature— community (citizen) participation, social capital, and empowerment; and the impact of the projects on poverty. ^ In this qualitative study, data were collected and triangulated by means of in-depth, semi-structured interviews, supplemented by key informant data; non-participant observation; and document reviews. Thirty-four respondents were interviewed individually at eight rural and urban sites over a period of four consecutive months, and 10 key informants provided supplementary data. Open, axial, and selective coding was used for data reduction and analysis as part of the grounded theory method, which included constant comparative analysis. The codes generated a set of themes and a substantive-formal theory. Findings were crosschecked with interview respondents and key informants and validated by means of an audit trail. ^ The results have revealed that the approach to poverty reduction in social fund-supported communities is a process of development-focused collaboration among various stakeholders. The process encompasses four stages: (1) identifying problems and priorities, (2) motivating and mobilizing, (3) working together, and (4) creating an enabling environment. The underlying stakeholder involvement theory posits that collaboration increases the productivity of resources and creates the conditions for community-driven development. In addition, the study has found that social fund projects are largely community-based, collaborative, and highly participatory in their implementation, as well as prescription-driven, results-oriented, and leadership-dependent. Further, social capital formation across communities was found to be limited, and in general, the projects have been enabling rather than empowering. The projects have not reduced poverty per se; however, they have been instrumental in improving conditions that were concomitants of poverty. ^

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The current study applies a two-state switching regression model to examine the behavior of a hypothetical portfolio of ten socially responsible (SRI) equity mutual funds during the expansion and contraction phases of US business cycles between April 1991 and June 2009, based on the Carhart four-factor model, using monthly data. The model identified a business cycle effect on the performance of SRI equity mutual funds. Fund returns were less volatile during expansion/peaks than during contraction/troughs, as indicated by the standard deviation of returns. During contraction/troughs, fund excess returns were explained by the differential in returns between small and large companies, the difference between the returns on stocks trading at high and low Book-to-Market Value, the market excess return over the risk-free rate, and fund objective. During contraction/troughs, smaller companies offered higher returns than larger companies (ci = 0.26, p = 0.01), undervalued stocks out-performed high growth stocks (h i = 0.39, p <0.0001), and funds with growth objectives out-performed funds with other objectives (oi = 0.01, p = 0.02). The hypothetical SRI portfolio was less risky than the market (bi = 0.74, p <0.0001). During expansion/peaks, fund excess returns were explained by the market excess return over the risk-free rate, and fund objective. Funds with other objectives, such as balanced funds and income funds out-performed funds with growth objectives (oi = −0.01, p = 0.03). The hypothetical SRI portfolio exhibited similar risk as the market (bi = 0.93, p <0.0001). The SRI investor adds a third criterion to the risk and return trade-off of traditional portfolio theory. This constraint is social performance. The research suggests that managers of SRI equity mutual funds may diminish value by using social and ethical criteria to select stocks, but add value by superior stock selection. The result is that the performance of SRI mutual funds is very similar to that of the market. There was no difference in the value added among secular SRI, religious SRI, and vice screens.

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Exchange traded funds (ETFs) have increased significantly in popularity since they were first introduced in 1993. However, there is still much that is unknown about ETFs in the extant literature. This dissertation attempts to fill gaps in the ETF literature by using three related essays. In these three essays, we compare ETFs to closed ended mutual funds (CEFs) by decomposing the bid-ask spread into its three components; we look at the intraday shape of ETFs and compare it to the intraday shape of equities as well as examine the co-integration factor between ETFs on the London Stock Exchange and the New York Stock Exchange; we also examine the differences between leveraged ETFs and unleveraged ETFs by analyzing the impact of liquidity and volatility. These three essays are presented in Chapters 1, 2, and 3, respectively. ^ Chapter one uses the Huang and Stoll (1997) model to decompose the bid-ask spread in CEFs and ETFs for two distinct periods—a normal and a volatile period. We show a higher adverse selection component for CEFs than for ETFs without regard to volatility. However, both ETFs and CEFs increased in magnitude of the adverse selection component in the period of high volatility. Chapter two uses a mix of the Werner and Kleidon (1993) and the Hupperets and Menkveld (2002) methods to get the intraday shape of ETFs and analyze co-integration between London and New York trading. We find two different shapes for New York and London ETFs. There also appears to be evidence of co-integration in the overlapping two-hour trading period but not over the entire trading day for the two locations. The third chapter discusses the new class of ETFs called leveraged ETFs. We examine the liquidity and depth differences between unleveraged and leveraged ETFs at the aggregate level and when the leveraged ETFs are classified by the leveraged multiples of -3, -2, -1, 2, and 3, both for a normal and a volatile period. We find distinct differences between leveraged and unleveraged ETFs at the aggregate level, with leveraged ETFs having larger spreads than unleveraged ETFs. Furthermore, while both leveraged and unleveraged ETFs have larger spreads in high volatility, for the leveraged ETFs the change in magnitude is significantly larger than for the unleveraged ETFs. Among the multiples, the -2 leveraged ETF is the most pronounced in its liquidity characteristics, more so in volatile times. ^

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This is the first comprehensive analysis of the regulation of money market funds in the EU and US at both the theoretical and practical levels.  Its unique mutli-disciplinary approach provides a rigorous framework for comparative analysis and expert opinions on complex regulations that will help practitioners with decisions on portfolio management and in solving regulatory compliance issues. The theoretical framework has unique cases and examples and includes checklists to assist with the practice of fund management and legal risk analysis.

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This chapter sets out a comprehensive analysis of the regulation of money market funds in the EU and US. The theoretical framework has unique cases and examples and includes checklists to assist with the practice of fund management and legal risk analysis.

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This chapter sets out a comprehensive analysis of the regulation of money market funds outside of the EU and US. The theoretical framework includes unique cases and examples and recommendations for regulations and policy developments.

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Most hospitality firms do not consider managing stock portfolios to be a main part of their operations. They are in the service business, using their real assets and the services provided by employees to create valuable experiences for guests. However, the need to focus on stock investments arises through those employees. Employees consistently rank benefits, including retirement benefits, among the top five contributors to job satisfaction and as a key consideration in accepting a job.1 It is not surprising, then, that more than 90 percent of companies with 500 or more employees offer retirement plans. The five largest hotel companies in the U.S. have over $10 billion in assets under management in their retirement plans, making these plans a key component in retirement investment decisions.

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This research aims to investigate the Hedge Efficiency and Optimal Hedge Ratio for the future market of cattle, coffee, ethanol, corn and soybean. This paper uses the Optimal Hedge Ratio and Hedge Effectiveness through multivariate GARCH models with error correction, attempting to the possible phenomenon of Optimal Hedge Ratio differential during the crop and intercrop period. The Optimal Hedge Ratio must be bigger in the intercrop period due to the uncertainty related to a possible supply shock (LAZZARINI, 2010). Among the future contracts studied in this research, the coffee, ethanol and soybean contracts were not object of this phenomenon investigation, yet. Furthermore, the corn and ethanol contracts were not object of researches which deal with Dynamic Hedging Strategy. This paper distinguishes itself for including the GARCH model with error correction, which it was never considered when the possible Optimal Hedge Ratio differential during the crop and intercrop period were investigated. The commodities quotation were used as future price in the market future of BM&FBOVESPA and as spot market, the CEPEA index, in the period from May 2010 to June 2013 to cattle, coffee, ethanol and corn, and to August 2012 to soybean, with daily frequency. Similar results were achieved for all the commodities. There is a long term relationship among the spot market and future market, bicausality and the spot market and future market of cattle, coffee, ethanol and corn, and unicausality of the future price of soybean on spot price. The Optimal Hedge Ratio was estimated from three different strategies: linear regression by MQO, BEKK-GARCH diagonal model, and BEKK-GARCH diagonal with intercrop dummy. The MQO regression model, pointed out the Hedge inefficiency, taking into consideration that the Optimal Hedge presented was too low. The second model represents the strategy of dynamic hedge, which collected time variations in the Optimal Hedge. The last Hedge strategy did not detect Optimal Hedge Ratio differential between the crop and intercrop period, therefore, unlikely what they expected, the investor do not need increase his/her investment in the future market during the intercrop

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"Prepared by G. Joachim [i.e. Joachim G.] Elterich and Linda Graham"--Prelim. p.

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This research aims to investigate the Hedge Efficiency and Optimal Hedge Ratio for the future market of cattle, coffee, ethanol, corn and soybean. This paper uses the Optimal Hedge Ratio and Hedge Effectiveness through multivariate GARCH models with error correction, attempting to the possible phenomenon of Optimal Hedge Ratio differential during the crop and intercrop period. The Optimal Hedge Ratio must be bigger in the intercrop period due to the uncertainty related to a possible supply shock (LAZZARINI, 2010). Among the future contracts studied in this research, the coffee, ethanol and soybean contracts were not object of this phenomenon investigation, yet. Furthermore, the corn and ethanol contracts were not object of researches which deal with Dynamic Hedging Strategy. This paper distinguishes itself for including the GARCH model with error correction, which it was never considered when the possible Optimal Hedge Ratio differential during the crop and intercrop period were investigated. The commodities quotation were used as future price in the market future of BM&FBOVESPA and as spot market, the CEPEA index, in the period from May 2010 to June 2013 to cattle, coffee, ethanol and corn, and to August 2012 to soybean, with daily frequency. Similar results were achieved for all the commodities. There is a long term relationship among the spot market and future market, bicausality and the spot market and future market of cattle, coffee, ethanol and corn, and unicausality of the future price of soybean on spot price. The Optimal Hedge Ratio was estimated from three different strategies: linear regression by MQO, BEKK-GARCH diagonal model, and BEKK-GARCH diagonal with intercrop dummy. The MQO regression model, pointed out the Hedge inefficiency, taking into consideration that the Optimal Hedge presented was too low. The second model represents the strategy of dynamic hedge, which collected time variations in the Optimal Hedge. The last Hedge strategy did not detect Optimal Hedge Ratio differential between the crop and intercrop period, therefore, unlikely what they expected, the investor do not need increase his/her investment in the future market during the intercrop