994 resultados para financial leverage


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Unexpected changes in cash flow have started to occur more frequently after the financial crisis. The capital structures of companies have also changed, and financial flexibility as well as flexible asset management have therefore become more important. This thesis aims at presenting financial working capital management, a part of flexible asset management, as a possibility to gain financial flexibility and survive the changes. This thesis operates in the interface of corporate finance, strategic management and management accounting, and it has two main objectives: to examine financial working capital management and to develop measures of financial working capital. The research in this thesis has been conducted using archival research and design science. Qualitative comparative analysis and model building are used to formulate tools and strategies for financial working capital management. The tools are tested with simulations, case studies and statistical analysis. The empirical data is collected from companies listed in the Helsinki Stock Exchange. The results of this thesis indicate that there are several possible financial working capital management strategies. FOCAL matrix is created in the thesis to assist in the selection of a strategy. The results also imply that profitability can be improved by reducing financial working capital, which creates a need to change the financial working capital management strategy. Financial flow cycle, and its modification, is developed in this thesis to measure financial working capital. Financial working capital as a concept is presented in this thesis with an orientation towards the management view. New dimensions have also been produced to financial management and working capital management, while providing a holistic approach to financial flexibility. Financial working capital management strategies are presented to managers and practical tools are provided for decision-making.

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Tämän kandidaatintutkielman tavoitteena on tutkia Suomessa toimivien kiinteistösijoitusyritysten menestymistä aikavälillä 2007–2014. Tutkimuksen keskiössä ovat erityisesti toimialan suurimpien yritysten suoriutuminen suhteessa pienempiin yrityksiin. Yritysten menestymistä arvioidaan valittujen tunnuslukujen avulla. Tutkimus ajoittuu finanssikriisin, eurokriisin ja taantuman aikaan, jolloin taloudessa tapahtui merkittäviä muutoksia. Kiinteistömarkkinoiden voidaan ajatella olevan paikallisia, jolloin maailmantalouden muutokset eivät ole välttämättä paikallisesti näyttäytyneet yhtä suurina. Tutkielman teoriaosuus esittelee tunnuslukuanalyysimenetelmää sekä valitut neljä tunnuslukua: voittoprosentin, oman pääoman tuottoprosentin, omavaraisuusasteen ja current ration. Lisäksi teoriaosuudessa esitellään mittakaavaedun käsite ja luodaan pohjaa, mittakaavaetujen aiempien tutkimusten perusteella, tutkimuskysymyksen tarkasteluun. Tutkimuksen aineisto kerättiin Amadeus-tietokannasta, tutkimus toteutettiin kvantitatiivisena tutkimuksena SAS-ohjelmistolla käyttäen Mann-Whitney U-testi -menetelmää ja 5 prosentin merkitsevyystasoa. Valitut yritykset jaettiin liikevaihdon perusteella suuriin ja pieniin yrityksiin (rajana 10 miljoonaa euroa), joita vuosittain verrattiin tunnusluvuittain. Tutkimustulosten perusteella voidaan todeta, että toimiala ei reagoinut ajanjaksolla voimakkaasti maailmantalouden muutoksiin. Voittoprosentit sekä omavaraisuusasteet olivat vuosina 2007–2014 pienillä yrityksillä tilastollisesti parempia, sekä oman pääoman tuottoprosentit parempia vuosina 2008 ja 2009. Current ration arvoissa ei ryhmien välillä havaittu tilastollisesti eroja. Voittoprosentin tulosten perusteella voidaan todeta suurilla yrityksillä mittakaavahaittojen esiintymisen mahdollisuus heikomman tuloksentekokyvyn vuoksi. Omavaraisuusasteen ja oman pääoman tuoton tulosten perusteella voidaan päätellä mittakaavaetujen esiintymisen mahdollisuus mahdollisesti vieraan pääoman saatavuudessa, kustannuksissa ja vieraan pääoman vipuvaikutuksen myötä. Tutkimustulokset osoittavat lisäksi suurten yritysten olleen pieniä yrityksiä herkempiä talouden heilahteluille.

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This study sought to explore the changing nature of the financial services industry in Toronto, Canada and the impact that these changes will have on the vocational educational outcomes required by Ontario Colleges of Applied Arts and Technology (CAAT) graduates who wish to enter the financial services industry. The study was descriptive and exploratory, based on both quantitative and qualitative data. Triangulation of 3 data sources (a collection of newspaper articles from the Toronto Star between July 1999 and June 2000, the calendars of the 25 CAATs, and a survey questionnaire prepared by me and distributed to subject matter experts who are key practitioners in the financial services industry) was used. The study contains a discussion of how the financial services industry is changing. The first question to be answered was: What do current practitioners in financial services perceive to be the knowledge, skills, and attitudes that will be required of future graduates for employment within the financial services industry? The study found that Ontario CAAT's graduates entering the financial services field need both business and financial services vocational learning outcomes. Colleges should have 2 programs 1 in accounting and 1 in financial services. The report addresses which specific topics should be included in the financial services program. The second question to be answered was: How does this anticipated profile of knowledge, skills, and attitudes change depending on the degree of implementation of the new technologies by the survey respondent? The study found no pattern. The third question to be answered was: In what way do existing programs need to change in the area of accreditation as perceived by the respondents? The study found that for accreditation, 3 credentials should be addressed within the financial services program. These are the Canadian Securities, the Life Underwriters, and the Certified Financial Planner designations. The last question to be answered was: What new knowledge, skills, and attitudes need to be incorporated into college curricula to address changing needs in the employment sector? For each Ontario CAAT which has a financial services program (excluding accounting), their program was reviewed in light of the topics as perceived by professionals in the financial services industry.

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With the 2010 Vancouver Winter Olympic Games quickly approaching, there has been a heightened interest in the performance of Canadian athletes at international competitions (Duffy, 2007; Fidlin, 2005; Longley, 2006). Two significant documents outline Canada's goal to become the number one sporting nation at the 2010 Olympic Games, and improve Canada's performance at the 2008 Olympic Games: Own the Podium and Road to Excellence (Priestner Allinger & Allinger, 2004; Road to Excellence, 2006). These two documents represent heightened interest in the performance of our elite athletes, in conjunction with Canada's hosting status of the Vancouver 2010 Winter Olympic Games. The requirements to train and compete at the international level have become more demanding both in terms of financial resources and time commitment. The need to financially assist athletes with their training and competition costs has been an important topic of debate over the past decades (Beamish & Borowy, 1987; Gatehouse, 2004; Macintosh, 1996; Munro, 1970; Owens, 2004). Two sources of fiinding for high performance athletes in Canada are the Athlete Assistance Program (AAP) provided by the Federal Government and the Canadian Olympic Excellence Fund provided by the Canadian Olympic Committee. The importance of these fiinds for athletes has been discussed in various forums (Ekos, 1992, 1997, 2005; Priestner Allinger & Allinger, 2004; Thibault «& Babiak, 2005). However, alternative sources of funds for high performance athletes have never been the object of research. As such the purpose of this study was to describe a group of athlete applicants from the time period of November 2004 to April 2006, and to contextualize these applications within the development of the Charitable Fund for Athletes.

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This paper investigates the impact of personal affinity toward a charity and information regarding financial management of potential recipient charitable organizations on decisions to donate. Using an experiment, the study examines how personal donation decisions differ from corporate donation decisions made by managers and how the emotional intelligence of donors affects donation decisions. The results indicate that threshold and financial information on charities assembled by the Better Business Bureau, a charity rating agency, made a significant impact on corporate donation decisions. The study also shows that emotional intelligence plays an important role that aids both individual donors and managers to regulate their donation decisions.

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Long Point Company financial memorandum (1 page, printed). A large portion of this page has been torn off. A good portion of the text is affected, May 1881.

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Rapport de recherche

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Latent variable models in finance originate both from asset pricing theory and time series analysis. These two strands of literature appeal to two different concepts of latent structures, which are both useful to reduce the dimension of a statistical model specified for a multivariate time series of asset prices. In the CAPM or APT beta pricing models, the dimension reduction is cross-sectional in nature, while in time-series state-space models, dimension is reduced longitudinally by assuming conditional independence between consecutive returns, given a small number of state variables. In this paper, we use the concept of Stochastic Discount Factor (SDF) or pricing kernel as a unifying principle to integrate these two concepts of latent variables. Beta pricing relations amount to characterize the factors as a basis of a vectorial space for the SDF. The coefficients of the SDF with respect to the factors are specified as deterministic functions of some state variables which summarize their dynamics. In beta pricing models, it is often said that only the factorial risk is compensated since the remaining idiosyncratic risk is diversifiable. Implicitly, this argument can be interpreted as a conditional cross-sectional factor structure, that is, a conditional independence between contemporaneous returns of a large number of assets, given a small number of factors, like in standard Factor Analysis. We provide this unifying analysis in the context of conditional equilibrium beta pricing as well as asset pricing with stochastic volatility, stochastic interest rates and other state variables. We address the general issue of econometric specifications of dynamic asset pricing models, which cover the modern literature on conditionally heteroskedastic factor models as well as equilibrium-based asset pricing models with an intertemporal specification of preferences and market fundamentals. We interpret various instantaneous causality relationships between state variables and market fundamentals as leverage effects and discuss their central role relative to the validity of standard CAPM-like stock pricing and preference-free option pricing.

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This paper develops a general stochastic framework and an equilibrium asset pricing model that make clear how attitudes towards intertemporal substitution and risk matter for option pricing. In particular, we show under which statistical conditions option pricing formulas are not preference-free, in other words, when preferences are not hidden in the stock and bond prices as they are in the standard Black and Scholes (BS) or Hull and White (HW) pricing formulas. The dependence of option prices on preference parameters comes from several instantaneous causality effects such as the so-called leverage effect. We also emphasize that the most standard asset pricing models (CAPM for the stock and BS or HW preference-free option pricing) are valid under the same stochastic setting (typically the absence of leverage effect), regardless of preference parameter values. Even though we propose a general non-preference-free option pricing formula, we always keep in mind that the BS formula is dominant both as a theoretical reference model and as a tool for practitioners. Another contribution of the paper is to characterize why the BS formula is such a benchmark. We show that, as soon as we are ready to accept a basic property of option prices, namely their homogeneity of degree one with respect to the pair formed by the underlying stock price and the strike price, the necessary statistical hypotheses for homogeneity provide BS-shaped option prices in equilibrium. This BS-shaped option-pricing formula allows us to derive interesting characterizations of the volatility smile, that is, the pattern of BS implicit volatilities as a function of the option moneyness. First, the asymmetry of the smile is shown to be equivalent to a particular form of asymmetry of the equivalent martingale measure. Second, this asymmetry appears precisely when there is either a premium on an instantaneous interest rate risk or on a generalized leverage effect or both, in other words, whenever the option pricing formula is not preference-free. Therefore, the main conclusion of our analysis for practitioners should be that an asymmetric smile is indicative of the relevance of preference parameters to price options.

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This paper exploits the term structure of interest rates to develop testable economic restrictions on the joint process of long-term interest rates and inflation when the latter is subject to a targeting policy by the Central Bank. Two competing models that econometrically describe agents’ inferences about inflation targets are developed and shown to generate distinct predictions on the behavior of interest rates. In an empirical application to the Canadian inflation target zone, results indicate that agents perceive the band to be substantially narrower than officially announced and asymmetric around the stated mid-point. The latter result (i) suggests that the monetary authority attaches different weights to positive and negative deviations from the central target, and (ii) challenges on empirical grounds the assumption, frequently made in the literature, that the policy maker’s loss function is symmetric (usually a quadratic function) around a desired inflation value.

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We examine the relationship between the risk premium on the S&P 500 index return and its conditional variance. We use the SMEGARCH - Semiparametric-Mean EGARCH - model in which the conditional variance process is EGARCH while the conditional mean is an arbitrary function of the conditional variance. For monthly S&P 500 excess returns, the relationship between the two moments that we uncover is nonlinear and nonmonotonic. Moreover, we find considerable persistence in the conditional variance as well as a leverage effect, as documented by others. Moreover, the shape of these relationships seems to be relatively stable over time.

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Recent work suggests that the conditional variance of financial returns may exhibit sudden jumps. This paper extends a non-parametric procedure to detect discontinuities in otherwise continuous functions of a random variable developed by Delgado and Hidalgo (1996) to higher conditional moments, in particular the conditional variance. Simulation results show that the procedure provides reasonable estimates of the number and location of jumps. This procedure detects several jumps in the conditional variance of daily returns on the S&P 500 index.

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