<p>The goal of this thesis will be to formulate an economic model that exposes the relationship between consumption of luxury goods and selected factors which includes advertising, disposable income, interest rate, price index and stock premium.</p><p>By building the Multiple Linear Regressions model to formulate the consumption function and using the Ordinary Least Squares (OLS) as the method, it becomes apparent that advertising, disposable income and the previous quarter´s disposable income are the major variables to affect luxury good consumption, of all the factors. Furthermore, the previous quarter´s disposable income has a slightly higher effect than the current one on luxury consumption. Similar studies, which focus on luxury items, have proposed models that test a single or a few variables at a time, and others that concentrate on durable goods have a wide range of variables to examine. I attempt to combine both in my model to test luxury consumption with a wide range of variables.</p> / 1.Abstrsact: short (1/2 page)The very specific purpose of your studyThe finding ( results) The method: statistical method, the data , the theoretical data,Compare your results with the results from similar studies.2.Introduction (1 and half page)A general idea ( 4-6 lines)Make references to theoretical and empirical research paper.Names, dates, and contribution.The purpose of your studyMethodLimitationOutline of the paper3.Conclusion (1 page)The purpose of the studyThe resultsThe methodComparison with the results from similar studiesCritical discussion of your own studiesFurther studies4. consider opponents points too

The purpose of this study is to analyze the effectiveness of environmental regulations for water-borne emissions in the Swedish pulp and paper industry. Furthermore, the study intends to analyze if there are differences in the effectiveness before and after the restructuring of the Swedish regulatory procedures in 1999. It also addresses the impact of compliance periods in the regulatory process. The method is econometric and based on the use of a fixed-effect panel data regression model. The data comprise 1 698 unique observation from 21 Swedish pulp and paper mills during the time period 1980-2013 regarding emissions, emission standards and production levels. The results display that the environmental regulation in the industry has been effective in the sense that emissions have decreased with the implementation of performance standards. Furthermore, the period before 1999 shows a greater reduction of emissions than the period after 1999. Finally, the results indicate that the use of compliance periods appears to have contributedto a greater reduction in emissions compared to cases where no such periods are granted. / Syftet med denna studie är att analysera effektiviteten av miljöregleringen av vattenbaserade utsläpp inom den svenska massa- och pappersindustrin. Dessutom avser denna studie att analysera om det finns några effektivitetsskillnader före och efter omstruktureringen av den svenska regleringsprocessen år 1999. Studien behandlar även effekten av anpassningsperioder i regleringsprocessen. Metoden är ekonometrisk och baseras på en "fixed-effect" panel datamodell. Datamaterialet består av 1 689 unika observationer från 21 svenska massa- och pappersbruk under åren 1980 - 2013 avseende utsläpp, gränsvärden och produktionsnivåer. Resultatet visar att miljöregleringen har varit effektiv i den meningen att utsläppen har minskat med införandet av gränsvärden. Dessutom, perioden innan 1999 visar en större utsläppsreduktion än perioden efter 1999. Till sist, resultaten indikerar att användandet av anpassningsperioder verkar ha bidragit till större utsläppsreduceringar i jämförelse till de fall där dessa perioder inte beviljades.

<p><p><p><strong>Syfte:</strong> Syftet med denna studie är att utreda månadsavgiftens inverkan på bostadsrätters försäljningspris och få en indikation på hur rationellt den studerade marknaden fungerar. Den formella hypotesen är: Leder låg månadsavgift till högt försäljningspris och vice versa? Dessutom undersöks hur månadsavgiften kapitaliseras in i bostadsrätters försäljningspris.</p></p></p><p><p><p><strong>Metod:</strong> Denna studie baseras på information om bostadsrättsförsäljningar i Gävle under år 2008. En omfattande manuell databehandling har utförts för att kunna genomföra studien. De prispåverkande faktorerna har klassificerats utifrån deras förmodande inverkan på priset. Metoden som används är den hedoniska metoden, som gör det möjligt att beskriva försäljningspriset som en funktion av ett antal faktorer. För att estimera månadsavgiftens effekt på försäljningspriset har fyra regressionsekvationer utformats och beräknats i dataprogrammet Microsoft Excel. Utifrån regressionsresultatet har en värderingsformel skapats som använts för att urskilja det avkastningskrav med vilket marknaden kapitaliserat avgiften.</p></p></p><p><p><p><strong>Resultat & slutsats:</strong> Samtliga regressionsresultat visar att korrelationen mellan månadsavgift och försäljningspris är negativ. Det intressanta är dock hur månadsavgiften kapitaliseras in i bostadsrättens försäljningspris. Resultatet visar att avkastningen är som lägst när månadsavgiften är låg och tilltar i takt med att månadsavgiften ökar. Detta kan tala för att en fokusering på den låga månadsavgiften kan leda till för höga försäljningspriser.</p><p><strong>Förslag till fortsatt forskning: </strong>När vi i studien har bedömt huruvida marknaden handlar rationellt eller ej har vi inte tagit hänsyn till hur köpet är finansierat av de enskilda köparna. Detta är en faktor som komplicerar bedömningen och är värt att undersöka vidare.</p></p></p><p><p><p><strong>Uppsatsens bidrag:</strong> Studien har gett en inblick i hur månadsavgiften påverkar bostadsrätters försäljningspris. Dessutom har åskådliggjorts huruvida marknadens värdering av månadsavgiften ändras vid olika avgiftsnivåer.</p></p></p> / <p><p><p><strong>Aim:</strong> The purpose of this study is to investigate the monthly fees impact on tenant-owner<strong> </strong>flats market and get an indication of how rational the studied market is. The formal hypothesis is: Does a low monthly fee lead to high selling price and vice versa? Moreover investigates how the monthly fee capitalizes into tenant-owner flats selling price.</p></p></p><p><p><p><strong>Method:</strong> This study is based on sales of tenant-owner flats in Gävle during year 2008. An extensive manual data processing has been implemented to perform the study. The priceinfluencing factors have been classified according to their prospective impact on the price. The method used is the hedonic method, which makes it possible to describe the selling price as a function of a number of factors. To estimate monthly fees effect on the sales price, four regression equations has been designed and calculated in the computer program Microsoft Excel. Based on the regression result a valuation formula has been created and is used to identify the return of which the market has capitalized the fee.</p><p><strong>Result & Conclusions:</strong> All regression results show that the correlation between the monthly fee and selling price are negative. What is interesting is how the monthly fee is capitalized into the tenant-owner flats selling price. The result shows that the yield is at its lowest when the monthly fee is low and increases as the monthly fee increases. This may demonstrate that a low monthly fee can lead to a high selling price.</p><p><strong>Suggestions for future research:</strong> When we assessed whether the market is rational or not, we have not taken account of how the purchase is financed by the individual buyers. This is a factor that complicates the assessment and is worth exploring further.</p></p></p><p><p><p><strong>Contribution of the thesis:</strong> The study has given an insight into the monthly fees affect on tenant-owner flats selling prices. In addition, we illustrate how the market's valuation of the monthly fee changes at different levels of the fees size.</p></p></p>

No description available.

Syfte: Syftet med denna studie är att utreda månadsavgiftens inverkan på bostadsrätters försäljningspris och få en indikation på hur rationellt den studerade marknaden fungerar. Den formella hypotesen är: Leder låg månadsavgift till högt försäljningspris och vice versa? Dessutom undersöks hur månadsavgiften kapitaliseras in i bostadsrätters försäljningspris. Metod: Denna studie baseras på information om bostadsrättsförsäljningar i Gävle under år 2008. En omfattande manuell databehandling har utförts för att kunna genomföra studien. De prispåverkande faktorerna har klassificerats utifrån deras förmodande inverkan på priset. Metoden som används är den hedoniska metoden, som gör det möjligt att beskriva försäljningspriset som en funktion av ett antal faktorer. För att estimera månadsavgiftens effekt på försäljningspriset har fyra regressionsekvationer utformats och beräknats i dataprogrammet Microsoft Excel. Utifrån regressionsresultatet har en värderingsformel skapats som använts för att urskilja det avkastningskrav med vilket marknaden kapitaliserat avgiften. Resultat &amp; slutsats: Samtliga regressionsresultat visar att korrelationen mellan månadsavgift och försäljningspris är negativ. Det intressanta är dock hur månadsavgiften kapitaliseras in i bostadsrättens försäljningspris. Resultatet visar att avkastningen är som lägst när månadsavgiften är låg och tilltar i takt med att månadsavgiften ökar. Detta kan tala för att en fokusering på den låga månadsavgiften kan leda till för höga försäljningspriser. Förslag till fortsatt forskning: När vi i studien har bedömt huruvida marknaden handlar rationellt eller ej har vi inte tagit hänsyn till hur köpet är finansierat av de enskilda köparna. Detta är en faktor som komplicerar bedömningen och är värt att undersöka vidare. Uppsatsens bidrag: Studien har gett en inblick i hur månadsavgiften påverkar bostadsrätters försäljningspris. Dessutom har åskådliggjorts huruvida marknadens värdering av månadsavgiften ändras vid olika avgiftsnivåer. / Aim: The purpose of this study is to investigate the monthly fees impact on tenant-owner flats market and get an indication of how rational the studied market is. The formal hypothesis is: Does a low monthly fee lead to high selling price and vice versa? Moreover investigates how the monthly fee capitalizes into tenant-owner flats selling price. Method: This study is based on sales of tenant-owner flats in Gävle during year 2008. An extensive manual data processing has been implemented to perform the study. The priceinfluencing factors have been classified according to their prospective impact on the price. The method used is the hedonic method, which makes it possible to describe the selling price as a function of a number of factors. To estimate monthly fees effect on the sales price, four regression equations has been designed and calculated in the computer program Microsoft Excel. Based on the regression result a valuation formula has been created and is used to identify the return of which the market has capitalized the fee. Result &amp; Conclusions: All regression results show that the correlation between the monthly fee and selling price are negative. What is interesting is how the monthly fee is capitalized into the tenant-owner flats selling price. The result shows that the yield is at its lowest when the monthly fee is low and increases as the monthly fee increases. This may demonstrate that a low monthly fee can lead to a high selling price. Suggestions for future research: When we assessed whether the market is rational or not, we have not taken account of how the purchase is financed by the individual buyers. This is a factor that complicates the assessment and is worth exploring further. Contribution of the thesis: The study has given an insight into the monthly fees affect on tenant-owner flats selling prices. In addition, we illustrate how the market's valuation of the monthly fee changes at different levels of the fees size.

As the public becomes more concerned with the natural environment, one of the major topics discussed is the oil. Since there is no true source of knowledge how long the oil can continue to be extracted, it is interesting to know how long the world can benefit from such as scarce resource. Instead of idly watching as oil production decreases with time, which pre-measures could be taken in order to minimize a negative impact on an economy? The UAE is a thriving oil rich countries which for the past 30 years have experienced a vast oil wealth. Even though the oil gave wealth to the UAE, they should avoid any future oil dependency since it could negatively affect its now flourishing economy. Therefore, for the UAE to continue growing in the future it is in the best interest for the government to focus on a diversifying strategy that promotes the non-oil economy. By referring to concepts and theories of previous research in this field such as the Solow growth model, Resource curse and Dutch disease the authors find that the UAE had managed to diversify or not. Three sectors in different periods between 1970 and 2007 were measured: The oil sector, the non-oil sector and the government sector. Diversification changes means a decreasing dependency of the oil sector to the non-oil sector while the latter instead depends more on the government sector. Using British Petroleum (2008) and United Nations (2008) as sources, data was collected in order to draw a time-series regression analysis and test empirically for these diversification trends. The results for all periods confirmed that the UAE have indeed diversified and it could thus be observed that it started its successful strategy already in the 1970s. With the right government policy investments and the stability in the union, the UAE prevented from becoming dependent on oil and thereby not crowding out its important non-oil economy. / Med en ökad allmän medvetenhet angående naturmiljön så är oljan bland det mest omtalande temat. Eftersom inget vet exakt hur länge oljan kan utvinnas, är det intressant att veta hur länge världen kan förlita sig på en sådan begränsad resurs. Finns det förebyggande medel för att minska en negativ verkan på ekonomin istället för att passivt bevittna en sjunkande oljeproduktion? Förenta Arabemiraten (FAE) är en framgångsrik union som under de senaste 30 åren har åtnjutit en omfattande oljerikedom. Trots att oljan lade grunden för tillväxten i FAE, så börs unionen undvika sitt oljeberoende eftersom den negativt kan påverka den nuvarande blomstrande ekonomin. Således, för att bibehålla tillväxten i FAE för framtiden, borde det vara i statens största intresse att fokusera på en differentierings-strategi som främjar icke-oljans ekonomi. För att veta om FAE faktiskt har differentierat sig eller inte, används koncept och teorier för tidigare forskning kring områdets som t.ex. Solows tillväxtmodel, Resursförbannelsen och holländska sjukan. Tre sektorer mättes i olika perioder mellan 1970-2007: oljesektorn, icke-sektorn och statssektorn. Icke-olje sektorn förväntas minska oljeberoendet samt öka beroendet av statssektorn vilket resulterar i en differentieringstrend i ekonomin. Genom källor från British Petroleum (2008) och Förenta Nationerna (2008)  har data insamlats för att empiriskt testa en tidsserie regression och se förändringar mellan sektorerna. Under alla perioder i FAE blev en differentieringstrend bekräftad och man kunde därför se att denna framgångsrika strategi redan åtogs i 1970-talet. Med effektiva investeringar i den offentliga sektorn samt en hållbar stabilitet i unionen, undvek FAE ett oljeberoende och därmed främjade icke-olje ekonomin.

Purpose of the research: The purpose is to forecast the future trend of housing prices in Stockholm County 2011-2014 based on estimated slope coefficients of selected explanatory variables 1993-2010. Thereafter, the obtained forecast will be discussed with respect to other non-quantifiable concepts within behavioral economics. Method: Multiple regression technique with a deductive and explorative approach. Empirical data: Quantitative. Conclusion: The future trend of housing prices in Stockholm County has been forecasted to be positively sloped throughout all the years 2011-2014, but in 2011, the forecast reveals that the increase of house prices will taper off. Nevertheless, behavioral economics reveals some insights about the trend on the housing market and that the house prices might include a portion of abnormal returns. / Syfte: Syftet är att förutse den framtida utvecklingen av bostadspriserna i Stockholms län 2011-2014 baserade på beräknade lutningskoefficienter av valda förklaringsvariabler 1993-2010. Därefter kommer den erhållna prognosen att diskuteras i förhållande till andra icke-kvantifierbara begrepp inom beteendeekonomi. Metod: Multipel regressionsteknik med en deduktiv och explorativ strategi. Empirisk data: Kvantitativ. Slutsats: Den framtida utvecklingen av bostadspriserna i Stockholms län har beräknats ha en positiv lutning inom samtliga år 2011-2014, men under 2011 visar också prognosen att ökningen av huspriserna kommer att avta successivt. Icke desto mindre avslöjar beteendeekonomi vissa insikter om utvecklingen på bostadsmarknaden och att huspriserna kan innehålla en andel abnorm avkastning.

<p><strong>As the public becomes more concerned with the natural environment, one of the major topics discussed is the oil. Since there is no true source of knowledge how long the oil can continue to be extracted, it is interesting to know how long the world can benefit from such as scarce resource. Instead of idly watching as oil production decreases with time, which pre-measures could be taken in order to minimize a negative impact on an economy? The UAE is a thriving oil rich countries which for the past 30 years have experienced a vast oil wealth. Even though the oil gave wealth to the UAE, they should avoid any future oil dependency since it could negatively affect its now flourishing economy. Therefore, for the UAE to continue growing in the future it is in the best interest for the government to focus on a diversifying strategy that promotes the non-oil economy. By referring to concepts and theories of previous research in this field such as the Solow growth model, Resource curse and Dutch disease the authors find that the UAE had managed to diversify or not. Three sectors in different periods between 1970 and 2007 were measured: The oil sector, the non-oil sector and the government sector. Diversification changes means a decreasing dependency of the oil sector to the non-oil sector while the latter instead depends more on the government sector. Using British Petroleum (2008) and United Nations (2008) as sources, data was collected in order to draw a time-series regression analysis and test empirically for these diversification trends. The results for all periods confirmed that the UAE have indeed diversified and it could thus be observed that it started its successful strategy already in the 1970s. With the right government policy investments and the stability in the union, the UAE prevented from becoming dependent on oil and thereby not crowding out its important non-oil economy. </strong></p> / <p><strong>Med en ökad allmän medvetenhet angående naturmiljön så är oljan bland det mest omtalande temat. Eftersom inget vet exakt hur länge oljan kan utvinnas, är det intressant att veta hur länge världen kan förlita sig på en sådan begränsad resurs. Finns det förebyggande medel för att minska en negativ verkan på ekonomin istället för att passivt bevittna en sjunkande oljeproduktion? Förenta Arabemiraten (FAE) är en framgångsrik union som under de senaste 30 åren har åtnjutit en omfattande oljerikedom. Trots att oljan lade grunden för tillväxten i FAE, så börs unionen undvika sitt oljeberoende eftersom den negativt kan påverka den nuvarande blomstrande ekonomin. Således, för att bibehålla tillväxten i FAE för framtiden, borde det vara i statens största intresse att fokusera på en differentierings-strategi som främjar icke-oljans ekonomi. För att veta om FAE faktiskt har differentierat sig eller inte, används koncept och teorier för tidigare forskning kring områdets som t.ex. Solows tillväxtmodel, Resursförbannelsen och holländska sjukan. Tre sektorer mättes i olika perioder mellan 1970-2007: oljesektorn, icke-sektorn och statssektorn. Icke-olje sektorn förväntas minska oljeberoendet samt öka beroendet av statssektorn vilket resulterar i en differentieringstrend i ekonomin. Genom källor från British Petroleum (2008) och Förenta Nationerna (2008)  har data insamlats för att empiriskt testa en tidsserie regression och se förändringar mellan sektorerna. Under alla perioder i FAE blev en differentieringstrend bekräftad och man kunde därför se att denna framgångsrika strategi redan åtogs i 1970-talet. Med effektiva investeringar i den offentliga sektorn samt en hållbar stabilitet i unionen, undvek FAE ett oljeberoende och därmed främjade icke-olje ekonomin.</strong><strong></strong></p>

This thesis consists of four research papers. The main focus is on building the multivariate Conditional Correlation (CC-) GARCH models. In particular, emphasis lies on considering an extension of CC-GARCH models that allow for interactions or causality in conditional variances. In the first three chapters, misspecification testing and parameter restrictions in these models are discussed. In the final chapter, a computer package for building major variants of the CC-GARCH models is presented. The first chapter contains a brief introduction to the CC-GARCH models as well as a summary of each research paper. The second chapter proposes a misspecification test for modelling of the conditional variance part of the Extended Constant CC-GARCH model. The test is designed for testing the hypothesis of no interactions in the conditional variances. If the null hypothesis is true, then the conditional variances may be described by the standard CCC-GARCH model. The test is constructed on the Lagrange Multiplier (LM) principle that only requires the estimation of the null model. Although the test is derived under the assumption of the constant conditional correlation, the simulation experiments suggest that the test is also applicable to building CC-GARCH models with changing conditional correlations. There is no asymptotic theory available for these models, which is why simulation of the test statistic in this situation has been necessary. The third chapter provides yet another misspecification test for modelling of the conditional variance component of the CC-GARCH models, whose parameters are often estimated in two steps. The estimator obtained through these two steps is a two-stage quasi-maximum likelihood estimator (2SQMLE). Taking advantage of the asymptotic results for 2SQMLE, the test considered in this chapter is formulated using the LM principle, which requires only the estimation of univariate GARCH models. It is also shown that the test statistic may be computed by using an auxiliary regression. A robust version of the new test is available through another auxiliary regression. All of this amounts to a substantial simplification in computations compared with the test proposed in the second chapter. The simulation experiments show that, under both under both Gaussian and leptokurtic innovations, as well as under changing conditional correlations, the new test has reasonable size and power properties. When modelling the conditional variance, it is necessary to keep the sequence of conditional covariance matrices positive definite almost surely for any time horizon. In the fourth chapter it is demonstrated that under certain conditions some of the parameters of the model can take negative values while the conditional covariance matrix remains positive definite almost surely. It is also shown that even in the simplest first-order vector GARCH representation, the relevant parameter space can contain negative values for some parameters, which is not possible in the univariate model. This finding makes it possible to incorporate negative volatility spillovers into the CC-GARCH framework. Many new GARCH models and misspecification testing procedures have been recently proposed in the literature. When it comes to applying these models or tests, however, there do not seem to exist many options for the users to choose from other than creating their own computer programmes. This is especially the case when one wants to apply a multivariate GARCH model. The last chapter of the thesis offers a remedy to this situation by providing a workable environment for building CC-GARCH models. The package is open source, freely available on the Internet, and designed for use in the open source statistical environment R. With this package can estimate major variants of CC-GARCH models as well as simulate data from the CC-GARCH data generating processes with multivariate normal or Student's t innovations. In addition, the package is equipped with the necessary functions for conducting diagnostic tests such as those discussed in the third chapter of this thesis. / <p>Diss. Stockholm : Handelshögskolan, 2010. Sammanfattning jämte 4 uppsatser.</p>

The thesis "Four Essays on the Econometric Modelling of Volatility and Durations" consists of four research papers in the area of financial econometrics on topics of the modelling of financial market volatility and the econometrics of ultra-high-frequency data. The aim of the thesis is to develop new econometric methods for modelling and hypothesis testing in these areas. The second chapter introduces a new model, the time-varying GARCH (TV-GARCH) model, in which volatility has a smooth time-varying structure of either additive or multiplicative type. To characterize smooth changes in the (un)conditional variance we assume that the parameters vary smoothly over time according to the logistic transition function. A data-based modelling technique is used for specifying the parametric structure of the TV-GARCH models. This is done by testing a sequence of hypotheses by Lagrange multiplier tests presented in the chapter. Misspecification tests are also provided for evaluating the adequacy of the estimated model. The third chapter addresses the issue of modelling deterministic changes in the unconditional variance over a long return series. The modelling strategy is illustrated with an application to the daily returns of the Dow Jones Industrial Average (DJIA) index from 1920 until 2003. The empirical results sustain the hypothesis that the assumption of constancy of the unconditional variance is not adequate over long return series and indicate that deterministic changes in the unconditional variance may be associated with macroeconomic factors. In the fourth chapter we propose an extension of the univariate multiplicative TV-GARCH model to the multivariate Conditional Correlation GARCH (CC-GARCH) framework. The variance equations are parameterized such that they combine the long-run and the short-run dynamic behaviour of the volatilities. In this framework, the long-run behaviour is described by the individual unconditional variances, and it is allowed to vary smoothly over time according to the logistic transition function. The effects of modelling the nonstationary variance component are examined empirically in several CC-GARCH models using pairs of seven daily stock return series from the S&amp;P 500 index. The results show that the magnitude of such effect varies across different stock series and depends on the structure of the conditional correlation matrix. An important feature of financial durations is the evidence of a strong diurnal variation over the trading day. In the fifth chapter we propose a new parameterization for describing the diurnal pattern of trading activity. The parametric structure of the diurnal component allows the duration process to change smoothly over the time-of-day according to the logistic transition function. The empirical results suggest that the diurnal variation may not always have the inverted U-shaped pattern for the trade durations as documented in earlier studies.