966 resultados para Market conditions


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We study firms' corporate governance in environments where possibly heterogeneous shareholders compete for possibly heterogeneous managers. A firm, formed by a shareholder and a manager, can sign either an incentive contract or a contract including a Code of Best Practice. A Code allows for a better manager's control but makes manager's decisions hard to react when market conditions change. It tends to be adopted in markets with low volatility and in low-competitive environments. The firms with the best projects tend to adopt the Code when managers are not too heterogeneous while the best managers tend to be hired through incentive contracts when the projects are similar. Although the matching between shareholders and managers is often positively assortative, the shareholders with the best projects might be willing to renounce to hire the best managers, signing contracts including Codes with lower-ability managers.

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The present paper analyses the link between firms’ decisions to innovate and the barriers that prevent them from being innovative. The aim is twofold. First, it analyses three groups of barriers to innovation: the cost of innovation projects, lack of knowledge and market conditions. Second, it presents the main steps taken by Catalan Government to promote the creation of new firms and to reduce barriers to innovation. The data set used is based on the 2004 official innovation survey of Catalonia which was taken from the Spanish CIS-4 sample. This sample includes individual information on 2,954 Catalan firms in manufacturing industries and knowledge-intensive services (KIS). The empirical analysis reveals pronounced differences regarding a firm’s propensity to innovate and its perception of barriers. Moreover, the results show that cost and knowledge barriers seem to be the most important and that there are substantial sectoral differences in the way that firms react to barriers. The results of this paper have important implications for the design of future public policy to promote entrepreneurship and innovation together.

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Quantitative or algorithmic trading is the automatization of investments decisions obeying a fixed or dynamic sets of rules to determine trading orders. It has increasingly made its way up to 70% of the trading volume of one of the biggest financial markets such as the New York Stock Exchange (NYSE). However, there is not a signi cant amount of academic literature devoted to it due to the private nature of investment banks and hedge funds. This projects aims to review the literature and discuss the models available in a subject that publications are scarce and infrequently. We review the basic and fundamental mathematical concepts needed for modeling financial markets such as: stochastic processes, stochastic integration and basic models for prices and spreads dynamics necessary for building quantitative strategies. We also contrast these models with real market data with minutely sampling frequency from the Dow Jones Industrial Average (DJIA). Quantitative strategies try to exploit two types of behavior: trend following or mean reversion. The former is grouped in the so-called technical models and the later in the so-called pairs trading. Technical models have been discarded by financial theoreticians but we show that they can be properly cast into a well defined scientific predictor if the signal generated by them pass the test of being a Markov time. That is, we can tell if the signal has occurred or not by examining the information up to the current time; or more technically, if the event is F_t-measurable. On the other hand the concept of pairs trading or market neutral strategy is fairly simple. However it can be cast in a variety of mathematical models ranging from a method based on a simple euclidean distance, in a co-integration framework or involving stochastic differential equations such as the well-known Ornstein-Uhlenbeck mean reversal ODE and its variations. A model for forecasting any economic or financial magnitude could be properly defined with scientific rigor but it could also lack of any economical value and be considered useless from a practical point of view. This is why this project could not be complete without a backtesting of the mentioned strategies. Conducting a useful and realistic backtesting is by no means a trivial exercise since the \laws" that govern financial markets are constantly evolving in time. This is the reason because we make emphasis in the calibration process of the strategies' parameters to adapt the given market conditions. We find out that the parameters from technical models are more volatile than their counterpart form market neutral strategies and calibration must be done in a high-frequency sampling manner to constantly track the currently market situation. As a whole, the goal of this project is to provide an overview of a quantitative approach to investment reviewing basic strategies and illustrating them by means of a back-testing with real financial market data. The sources of the data used in this project are Bloomberg for intraday time series and Yahoo! for daily prices. All numeric computations and graphics used and shown in this project were implemented in MATLAB^R scratch from scratch as a part of this thesis. No other mathematical or statistical software was used.

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One of the key emphases of these three essays is to provide practical managerial insight. However, good practical insight, can only be created by grounding it firmly on theoretical and empirical research. Practical experience-based understanding without theoretical grounding remains tacit and cannot be easily disseminated. Theoretical understanding without links to real life remains sterile. My studies aim to increase the understanding of how radical innovation could be generated at large established firms and how it can have an impact on business performance as most businesses pursue innovation with one prime objective: value creation. My studies focus on large established firms with sales revenue exceeding USD $ 1 billion. Usually large established firms cannot rely on informal ways of management, as these firms tend to be multinational businesses operating with subsidiaries, offices, or production facilities in more than one country. I. Internal and External Determinants of Corporate Venture Capital Investment The goal of this chapter is to focus on CVC as one of the mechanisms available for established firms to source new ideas that can be exploited. We explore the internal and external determinants under which established firms engage in CVC to source new knowledge through investment in startups. We attempt to make scholars and managers aware of the forces that influence CVC activity by providing findings and insights to facilitate the strategic management of CVC. There are research opportunities to further understand the CVC phenomenon. Why do companies engage in CVC? What motivates them to continue "playing the game" and keep their active CVC investment status. The study examines CVC investment activity, and the importance of understanding the influential factors that make a firm decide to engage in CVC. The main question is: How do established firms' CVC programs adapt to changing internal conditions and external environments. Adaptation typically involves learning from exploratory endeavors, which enable companies to transform the ways they compete (Guth & Ginsberg, 1990). Our study extends the current stream of research on CVC. It aims to contribute to the literature by providing an extensive comparison of internal and external determinants leading to CVC investment activity. To our knowledge, this is the first study to examine the influence of internal and external determinants on CVC activity throughout specific expansion and contraction periods determined by structural breaks occurring between 1985 to 2008. Our econometric analysis indicates a strong and significant positive association between CVC activity and R&D, cash flow availability and environmental financial market conditions, as well as a significant negative association between sales growth and the decision to engage into CVC. The analysis of this study reveals that CVC investment is highly volatile, as demonstrated by dramatic fluctuations in CVC investment activity over the past decades. When analyzing the overall cyclical CVC period from 1985 to 2008 the results of our study suggest that CVC activity has a pattern influenced by financial factors such as the level of R&D, free cash flow, lack of sales growth, and external conditions of the economy, with the NASDAQ price index as the most significant variable influencing CVC during this period. II. Contribution of CVC and its Interaction with R&D to Value Creation The second essay takes into account the demands of corporate executives and shareholders regarding business performance and value creation justifications for investments in innovation. Billions of dollars are invested in CVC and R&D. However there is little evidence that CVC and its interaction with R&D create value. Firms operating in dynamic business sectors seek to innovate to create the value demanded by changing market conditions, consumer preferences, and competitive offerings. Consequently, firms operating in such business sectors put a premium on finding new, sustainable and competitive value propositions. CVC and R&D can help them in this challenge. Dushnitsky and Lenox (2006) presented evidence that CVC investment is associated with value creation. However, studies have shown that the most innovative firms do not necessarily benefit from innovation. For instance Oyon (2007) indicated that between 1995 and 2005 the most innovative automotive companies did not obtain adequate rewards for shareholders. The interaction between CVC and R&D has generated much debate in the CVC literature. Some researchers see them as substitutes suggesting that firms have to choose between CVC and R&D (Hellmann, 2002), while others expect them to be complementary (Chesbrough & Tucci, 2004). This study explores the interaction that CVC and R&D have on value creation. This essay examines the impact of CVC and R&D on value creation over sixteen years across six business sectors and different geographical regions. Our findings suggest that the effect of CVC and its interaction with R&D on value creation is positive and significant. In dynamic business sectors technologies rapidly relinquish obsolete, consequently firms operating in such business sectors need to continuously develop new sources of value creation (Eisenhardt & Martin, 2000; Qualls, Olshavsky, & Michaels, 1981). We conclude that in order to impact value creation, firms operating in business sectors such as Engineering & Business Services, and Information Communication & Technology ought to consider CVC as a vital element of their innovation strategy. Moreover, regarding the CVC and R&D interaction effect, our findings suggest that R&D and CVC are complementary to value creation hence firms in certain business sectors can be better off supporting both R&D and CVC simultaneously to increase the probability of generating value creation. III. MCS and Organizational Structures for Radical Innovation Incremental innovation is necessary for continuous improvement but it does not provide a sustainable permanent source of competitiveness (Cooper, 2003). On the other hand, radical innovation pursuing new technologies and new market frontiers can generate new platforms for growth providing firms with competitive advantages and high economic margin rents (Duchesneau et al., 1979; Markides & Geroski, 2005; O'Connor & DeMartino, 2006; Utterback, 1994). Interestingly, not all companies distinguish between incremental and radical innovation, and more importantly firms that manage innovation through a one-sizefits- all process can almost guarantee a sub-optimization of certain systems and resources (Davila et al., 2006). Moreover, we conducted research on the utilization of MCS along with radical innovation and flexible organizational structures as these have been associated with firm growth (Cooper, 2003; Davila & Foster, 2005, 2007; Markides & Geroski, 2005; O'Connor & DeMartino, 2006). Davila et al. (2009) identified research opportunities for innovation management and provided a list of pending issues: How do companies manage the process of radical and incremental innovation? What are the performance measures companies use to manage radical ideas and how do they select them? The fundamental objective of this paper is to address the following research question: What are the processes, MCS, and organizational structures for generating radical innovation? Moreover, in recent years, research on innovation management has been conducted mainly at either the firm level (Birkinshaw, Hamel, & Mol, 2008a) or at the project level examining appropriate management techniques associated with high levels of uncertainty (Burgelman & Sayles, 1988; Dougherty & Heller, 1994; Jelinek & Schoonhoven, 1993; Kanter, North, Bernstein, & Williamson, 1990; Leifer et al., 2000). Therefore, we embarked on a novel process-related research framework to observe the process stages, MCS, and organizational structures that can generate radical innovation. This article is based on a case study at Alcan Engineered Products, a division of a multinational company provider of lightweight material solutions. Our observations suggest that incremental and radical innovation should be managed through different processes, MCS and organizational structures that ought to be activated and adapted contingent to the type of innovation that is being pursued (i.e. incremental or radical innovation). More importantly, we conclude that radical can be generated in a systematic way through enablers such as processes, MCS, and organizational structures. This is in line with the findings of Jelinek and Schoonhoven (1993) and Davila et al. (2006; 2007) who show that innovative firms have institutionalized mechanisms, arguing that radical innovation cannot occur in an organic environment where flexibility and consensus are the main managerial mechanisms. They rather argue that radical innovation requires a clear organizational structure and formal MCS.

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Recent research in macroeconomics emphasizes the role of wage rigidity in accounting for the volatility of unemployment fluctuations. We use worker-level datafrom the CPS to measure the sensitivity of wages of newly hired workers to changesin aggregate labor market conditions. The wage of new hires, unlike the aggregatewage, is volatile and responds almost one-to-one to changes in labor productivity.We conclude that there is little evidence for wage stickiness in the data. We alsoshow, however, that a little wage rigidity goes a long way in amplifying the responseof job creation to productivity shocks.

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Structural unemployment is due to mismatch between available jobs and workers.We formalize this concept in a simple model of a segmented labor market with searchfrictions within segments. Worker mobility, job mobility and wage bargaining costsacross segments generate structural unemployment. We estimate the contribution ofthese costs to fluctuations in US unemployment, operationalizing segments as statesor industries. Most structural unemployment is due to wage bargaining costs, whichare large but nevertheless contribute little to unemployment fluctuations. Structuralunemployment is as cyclical as overall unemployment and no more persistent, bothin the current and in previous recessions.

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This analysis uses the 2011 FAPRI-CARD (Food and Agricultural Policy Research Institute–Center for Agricultural and Rural Development) baseline to evaluate the impact of four alternative scenarios on U.S. and world agricultural markets, as well as on world fertilizer use and world agricultural greenhouse gas emissions. A key assumption in the 2011 baseline is that ethanol support policies disappear in 2012. The baseline also assumes that existing biofuel mandates remain in place and are binding. Two of the scenarios are adverse supply shocks, the first being a 10% increase in the price of nitrogen fertilizer in the United States, and the second, a reversion of cropland into forestland. The third scenario examines how lower energy prices would impact world agriculture. The fourth scenario reintroduces biofuel tax credits and duties. Given that the baseline excludes these policies, the fourth scenario is an attempt to understand the impact of these policies under the market conditions that prevail in early 2011. A key to understanding the results of this fourth scenario is that in the absence of tax credits and duties, the mandate drives biofuel use. Therefore, when the tax credits and duties are reintroduced, the impacts are relatively small. In general, the results show that the entire international commodity market system is remarkably robust with respect to policy changes in one country or in one sector. The policy implication is that domestic policy changes implemented by a large agricultural producer like the United States can have fairly significant impacts on the aggregate world commodity markets. A second point that emerges from the results is that the law of unintended consequences is at work in world agriculture. For example, a U.S. nitrogen tax that might presumably be motivated for environmental benefit results in an increase in world greenhouse gas emissions. A similar situation occurs in the afforestation scenario in which crop production shifts from high-yielding land in the United States to low-yielding land and probably native vegetation in the rest of the world, resulting in an unintended increase in global greenhouse gas emissions.

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Structure of the Thesis This thesis consists of 5 sections. Section 1 starts with the problem definition and the presentation of the objectives of this thesis. Section 2 introduces a presentation of the theoretical foundations of Venture financing and a review of the main theories developed on Venture investing. It includes a taxonomy of contracting clauses relevant in venture contracting, the conflicts they address, and presents some general observations on contractual clauses. Section 3 presents the research findings on the analysis of a European VC's deal flow and investment screening linked to the prevailing market conditions. Section 4 focuses an empirical study of a European VC's investment process, the criteria it uses to make its investments. It presents empirical findings on the investment criteria over time, business cycles, and investment types. It also links these criteria to the VC's subsequent performance. Finally, section 5 presents an empirical research on the comparison of the legal contracts signed between European and United States Venture Capitalists and the companies they finance. This research highlights some of the contracting practices in Europe and the United States.

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Työn tavoitteena oli Imatra Steel Oy Ab:n jatkojalostusosaston lämpökäsittelylaitosten energiatalouden parantaminen. Työssä etsittiin lämpökäsittelylaitoksen energiatalouteen haitallisesti vaikuttavia tekijöitä ja pyrittiin löytämään ratkaisuja energiatalouden parantamiseksi.Työtä varten on kerätty tietoa kirjallisista lähteistä, Imatra Steel Oy Ab:n henkilökunnalta, insinööritoimistoilta, lämpökäsittelyuunien valmistajilta ja muilta asiantuntijoilta, jotka ovat olleet tekemisissä lämpökäsittelylaitosten, lämpökäsittelyuunien tai niihin läheisesti liittyvien energiataloudellisien tekijöiden parissa.Imatra Steel Oy Ab:n lämpökäsittelylaitosten suurimmat energiankuluttajat ovat lämpökäsittelyuunit, jotka ovat rakennettu pääosin vuosina 1965 ja 1971, jolloin energiankulutukseen ja sen aiheuttamiin kustannuksiin ei tarvinnut kiinnittää samalla tavoin huomiota kuin nykyisin. Työssä keskitytäänkin pääasiassa uunien energiatalouteen.Lämpökäsittelylaitosten energiatalouden parantamisessa on ensin keskityttävä primäärienergiana käytettävän maakaasun kulutuksen vähentämiseen, jonka jälkeen voidaan keskittyä uuneista syntyvän hukkalämmön hyödyntämiseen. Jotta lämpökäsittelyuunit saataisiin toimimaan energiataloudellisesti tehokkaasti ja nykyisessä markkinatilanteessa kilpailukykyisesti, pitäisi uuneille laatia oma kehitysohjelma. Uunien energiatalouden seuranta ja kehittäminen edellyttää nykyisten jatkuvatoimisesti mitattavien prosessitietojen ja erillisillä mittauksilla kerättävän tiedon nykyistä tehokkaampaa hyödyntämistä sekä uusien ennen mittaamattomien prosessiparametrien hyödyntämistä. Tulevaisuudessa toteutettava prosessitietojen keräysjärjestelmä antaakin aivan uusia mahdollisuuksia uunien kehittämiseen ja seurantaan.

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Tutkimuksessa tarkastellaan Tiehallinnon ST-urakoiden (suunnittele ja tee -urakka) toimittajavalintasystematiikkaa ja toimintaympäristöä. ST-urakoihin kuuluvat kokonaisvastuu- (KVU) ja projektinjohtourakka (PJU). Tutkimuksen tavoitteena on ongelmakohtien löytäminen ja ratkaisujen esittäminen Tiehallinnon kokonaisvastuu- ja projektinjohtourakoiden toimittajavalinnassa tutkimalla hankintakirjallisuudessa esitettyjä teorioita ja markkinaolosuhteita julkinen hankintalainsäädäntö huomioiden. Tutkimuksessa tarkastellaan Tiehallinnon hankintaprosessin tuottamia hankinta-asiakirjoja Tiehallinnon Kaakkois-Suomen tiepiirissä. Tutkimuksessa on haastateltu hankintojen avainhenkilöitä. Markkinatilanne on selvitetty vuodelta 2001-2002 KVU ja PJU tarjoustenkäsittely- ja päätösasiakirjoista. Tutkimuksen johtopäätökset allokoituvat empiren ja teorian vastakkaisasetteluun. Tutkimusaineiston analysoinnin perusteella voidaan esittää objektiivisemman toimittajavalinnan mahdollistamiseksi toimittajalaaturekisterin ylläpitoa ja toimittajan taloudellisen tilan seurantaa. Markkinoiden seuranta ja analysoiminen toimittajavalinnassa ja spesifikaatioiden kehittäminen isompien kokonaisuuksien hankinnoissa todetaan myös tärkeäksi.

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Prediction of the stock market valuation is a common interest to all market participants. Theoretically sound market valuation can be achieved by discounting future earnings of equities to present. Competing valuation models seek to find variables that affect the equity market valuation in a way that the market valuation can be explained and also variables that could be used to predict market valuation. In this paper we test the contemporaneous relationship between stock prices, forward looking earnings and long-term government bond yields. We test this so-called Fed model in a long- and short-term time series analysis. In order to test the dynamics of the relationship, we use the cointegration framework. The data used in this study spans over four decades of various market conditions between 1964-2007, using data from United States. The empirical results of our analysis do not give support for the Fed model. We are able to show that the long-term government bonds do not play statistically significant role in this relationship. The effect of forward earnings yield on the stock market prices is significant and thus we suggest the use of standard valuation ratios when trying to predict the future paths of equity prices. Also, changes in the long-term government bond yields do not have significant short-term impact on stock prices.

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Tutkimuksen tavoitteena oli tutkia, miten pankin käyttämä siirtohinnoittelumenetelmä toimii osana pankin ohjausjärjestelmää ja siten tukee organisaation kykyä ja motivaatioita toimia koko pankin kannalta kannattavasti. Ilmiötä tutkittiin tapaustutkimuksena Suomessa toimivassa pankissa. Tutkimuksessa kävi ilmi, että yrityksessä on meneillään siirtohinnoittelumallin muutosprojekti. Projektin tarkoituksena on parantaa kannattavuusseurantaa ja pitkällä tähtäimellä mallin on tarkoitus toimia strategian jalkauttamisen työvälineenä. Tutkimuksessa havaittiin, että siirtohinnoittelumallin keskeisin haaste on saada se sopeutumaan riittävän nopeasti markkinaolosuhteiden muutoksiin siten, että se tukee pankin strategisia tavoitteita. Konttoreiden tulosohjauksessa painotetaan tuloksen lisäksi erilaisia mittaristoja, jotka kuvaavat monipuolisemmin tulosyksikön suoriutumista. Tutkimuksen johtopäätöksenä havaittiin, että siirtohinnoittelumalli voi olla erinomainen johtamisen työkalu, jos se huomioi yrityskohtaiset, taloudelliseen toimintaympäristöön ja yrityksen strategiaan liittyvät erityisvaateet.

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Muotikaupan kansainvälistymisen motiivien vaikutusta operaatiomuodon valintaan on aikaisemmin tutkittu niukasti. Tutkijoiden painopiste on ollut lähinnä kansainvälistymisen motiivien selvittämisessä ja eri operaatiomuotojen soveltuvuuden analysoimisessa. Pro gradu -tutkielman tavoitteena on esittää, miten muotikaupan kansainvälistymisen motiivit vaikuttavat operaatiomuodon valintaan suomalaisen yrityksen näkökulmasta. Teorialähtöisen kvalitatiivisen case-tutkimuksen primääriaineisto kerättiin teemahaastatteluin Venäjälle kansainvälistymistä pohtivasta yrityksestä. Tutkimustulokset todistavat muotikaupan kansainvälistymisen motiivien vaikuttavan merkittävästi operaatiomuodon valintaan, mutta motiivien ohella vaikuttavat myös muut tekijät, tärkeimpinä kontrollin tarve ja kohdemaan markkinaolosuhteet. Lisäksi keskeisenä vaikuttavana tekijänä on huomioitava valikoiman sopeutustarve kohdemarkkinoilla. Tulokset osoittavat motiivien sekä muiden tekijöiden ja operaatiomuodon valinnan välisen, kontekstisidonnaisen, kausaalisuhteen lisäksi karkealla tasolla vaikuttavien tekijöiden keskinäistä tärkeysjärjestystä ja vaikutusastetta operaatiomuodon valintaan.

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The Fed model is a widely used market valuation model. It is often used only on market analysis of the S&P 500 index as a shorthand measure for the attractiveness of equity, and as a timing device for allocating funds between equity and bonds. The Fed model assumes a fixed relationship between bond yield and earnings yield. This relationship is often assumed to be true in market valuation. In this paper we test the Fed model from historical perspective on the European markets. The markets of the United States are also includedfor comparison. The purpose of the tests is to determine if the Fed model and the underlying assumptions come true on different markets. The various tests are made on time-series data ranging from the year 1973 to the end of the year 2008. The statistical methods used are regressions analysis, cointegration analysis and Granger causality. The empirical results do not give strong support for the Fed model. The underlying relationships assumed by the Fed model are statistically not valid in most of the markets examined and therefore the model is not valid in valuation purposes generally. The results vary between the different markets which gives reason to suspect the general use of the Fed model in different market conditions and in different markets.

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The aim of this work was to propose, apply and evaluate a methodical approach to select welding processes in a productive environment based on market requirements of Quality and Costs. A case study was used. The welds were carried out in laboratory, simulating the joint conditions of a manufacturer and using several welding processes: SMAW, GTAW, pulsed GTAW, GMAW with CO2 and Ar based shielding gases and pulsed GMAW. For Quality analysis geometrical aspects of the beads were considered and for Cost analysis, welding parameters and consumable prices. Quantitative indices were proposed and evaluated. After that, evaluation of both Quality and Costs was done, showing to be possible to select the most suitable welding process to a specific application, taking into account the market conditions of a company.