73 resultados para Railway open market


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In this paper I investigate the exercise policy, and the market reaction to that, of the executive stock option holders in Finland. The empirical tests are conducted with aggregated firm level data from 34 firms and 41 stock option programs. I find some evidence of an inverse relation between the exercise intensity of the options holders and the future abnormal return of the company share price. This finding is supported by the view that information about future company prospect seems to be the only theoretical attribute that could delay the exercise of the options. Moreover, a high concentration of exercises in the beginning of the exercise window is predicted and the market is expected to react to deviations from this. The empirical findings however show that the market does not react homogenously to the information revealed by the late exercises.

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The use of different time units in option pricing may lead to inconsistent estimates of time decay and spurious jumps in implied volatilities. Different time units in the pricing model leads to different implied volatilities although the option price itself is the same.The chosen time unit should make it necessary to adjust the volatility parameter only when there are some fundamental reasons for it and not due to wrong specifications of the model. This paper examined the effects of option pricing using different time hypotheses and empirically investigated which time frame the option markets in Germany employ over weekdays. The paper specifically tries to get a picture of how the market prices options. The results seem to verify that the German market behaves in a fashion that deviates from the most traditional time units in option pricing, calendar and trading days. The study also showed that the implied volatility of Thursdays was somewhat higher and thus differed from the pattern of other days of the week. Using a GARCH model to further investigate the effect showed that although a traditional tests, like the analysis of variance, indicated a negative return for Thursday during the same period as the implied volatilities used, this was not supported using a GARCH model.

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This paper investigates the clustering pattern in the Finnish stock market. Using trading volume and time as factors capturing the clustering pattern in the market, the Keim and Madhavan (1996) and the Engle and Russell (1998) model provide the framework for the analysis. The descriptive and the parametric analysis provide evidences that an important determinant of the famous U-shape pattern in the market is the rate of information arrivals as measured by large trading volumes and durations at the market open and close. Precisely, 1) the larger the trading volume, the greater the impact on prices both in the short and the long run, thus prices will differ across quantities. 2) Large trading volume is a non-linear function of price changes in the long run. 3) Arrival times are positively autocorrelated, indicating a clustering pattern and 4) Information arrivals as approximated by durations are negatively related to trading flow.

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This paper investigates to what extent the volatility of Finnish stock portfolios is transmitted through the "world volatility". We operationalize the volatility processes of Finnish leverage, industry, and size portfolio returns by asymmetric GARCH specifications according to Glosten et al. (1993). We use daily return data for January, 2, 1987 to December 30, 1998. We find that the world shock significantly enters the domestic models, and that the impact has increased over time. This applies also for the variance ratios, and the correlations to the world. The larger the firm, the larger is the world impact. The conditional variance is higher during recessions. The asymmetry parameter is surprisingly non-significant, and the leverage hypothesis cannot be verified. The return generating process of the domestic portfolio returns does usually not include the world information set, thus indicating that the returns are generated by a segmented conditional asset pricing model.

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Kirjastoissa ja yliopistoissa tapahtuvaa tieteellisten töiden verkkokäyttöä koskevat tekijänoikeudelliset kysymykset ovat viimeaikoina aiheuttaneet päänvaivaa. Tietoverkot ja digitaalinen ympäristö muodostavatkin tekijänoikeuden kannalta erityisen soveltamisympäristön johon perehtyminen edellyttää tarkempaa tietämystä tiedon siirtämisestä, tietokannoista sekä ylipäätään tietoverkkoihin liittyvistä teknisistä toiminnoista. Koska sovelletut tekniset ratkaisut poikkeavat eri yhteyksissä toisistaan, pyrin kirjoituksessa yleisellä tasolla selvittämään niitä käyttäjien ja oikeudenhaltijoiden välisiä tekijän- ja sopimusoikeudellisia kysymyksiä, joita teosten käyttö tietoverkoissa aiheuttaa. Pyrkimyksenä on tuoda esiin ne tekijänoikeudellisesti merkitykselliset seikat, jotka verkkojulkaisuja arkistoitaessa, välitettäessä sekä linkkejä käytettäessä tulisi alkuperäisten tekijöiden, kustantajien ja verkkojulkaisijoiden (esimerkiksi kirjasto tai yliopisto) välisissä sopimuksissa ottaa huomioon. Kysymyksiä tarkastellaan erityisesti julkaisijan näkökulmasta. Esitys sisältää myös kustantajien lupakäytäntöä käsittelevän empiirisen tutkimuksen. Tutkimuksessa on tarkasteltu kuinka usein kustantajat ovat vuosien 2000 – 2003 välisenä aikana myöntäneet luvan julkaista väitöskirjan artikkeli osana väitöskirjaa Teknillisen korkeakoulun avoimella ei kaupallisella www-palvelimella. Koska linkeillä on verkkojulkaisutoiminnassa usein merkittävä rooli, mutta niiden tekijänoikeudellinen asema on epäselvä, kirjoituksen jälkimmäisessä osiossa perehdytään linkkien tekijänoikeudelliseen asemaan.

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The purpose of this study was to deepen the understanding of market segmentation theory by studying the evolution of the concept and by identifying the antecedents and consequences of the theory. The research method was influenced by content analysis and meta-analysis. The evolution of market segmentation theory was studied as a reflection of evolution of marketing theory. According to this study, the theory of market segmentation has its roots in microeconomics and it has been influenced by different disciplines, such as motivation research and buyer behaviour theory. Furthermore, this study suggests that the evolution of market segmentation theory can be divided into four major eras: the era of foundations, development and blossoming, stillness and stagnation, and the era of re-emergence. Market segmentation theory emerged in the mid-1950’s and flourished during the period between mid-1950’s and the late 1970’s. During the 1980’s the theory lost its interest in the scientific community and no significant contributions were made. Now, towards the dawn of the new millennium, new approaches have emerged and market segmentation has gained new attention.