<div>I examine movements in the closing price that are different than the movements of the high and low prices on a given day. I construct the measure HLDiff which accumulates the differences between the high-low midpoint return and the closing price return over a month. Instances in which the closing price deviates from the movements in the midpoint between the high and low are a strong predictor of future abnormal returns. The predictive power of the HLDiff measure holds across size groups and sub-periods and holds in the presence of other common determinants of stock returns. The predictive power of HLDiff appears to be driven by the existence of market frictions. Specifically, I find that the premium associated with a factor constructed based on HLDiff is consistent with short-selling constraints inhibiting the correction of overpricing. The factor also appears to improve the pricing ability of the single-factor and five-factor models.</div>

The aim of this thesis attempts to analyse two concepts connected with public procurement overpricing, competition effect and non-transparent effect. Dataset consists of 326 public procurement contracts. Existence of competition effect is proved, thus increase of competitors in selection procedure causes that final price decreases. Open types of selection procedures are also cheaper for public authorities. Analysis of non-transparent effect lies in possibility to find beneficial owner of each winner of selection procedure from public sources. Results show that companies with clear and visible owners realize public contracts cheaper than their non-transparent competitors. Findings are also discussed in public policy approach.

The aim of this thesis is to analyse factors that contributes to public procurement overpricing in the Czech Republic. The paper combines use of quantitative and qualitative research methods. Existence of competition effect is proved, thus increase of competitors in selection procedure causes that final price decreases. Non-transparent suppliers in terms of traceability of beneficial owner is detected as next factor that contributes to overpricing. Also some types of contracts are showed as more problematic than others. Results of qualitative part of the research reveal other causes of overpricing, such as corruption, weak institutional environment or behaviour of public authorities. Public policy recommendations are presented at the end of the paper in order to improve current state of affairs.

Background and Problem Pakistan's clothing industry plays an important role in the country's economy; more than 60% of total exports and job possibilities are provided by the clothing industry in Pakistan. Small and medium-sized industries (SMEs) have increased in recent years, contributing to the industry's overall development (SMEs) throughout the last decade. Pakistan's clothing industry has grown rapidly but faces significant challenges of overpricing and technological roadblocks. Overpricing makes clothing items unaffordable for consumers, while outdated technology and machinery cause issues in productivity and competitiveness. Purpose The purpose of this study is to investigate the two challenges of entrepreneurs which are overpricing and technological roadblocks in the Pakistan clothing industry and to provide their solutions. Research Questions The following research questions are created to accomplish the purpose and justify this study:1. How entrepreneurs in the Pakistan clothing industry are facing challenges due to overpricing?2. What are the technological challenges in the Pakistan Clothing industry for entrepreneurs?3. What are the solutions to overpricing and technological roadblocks in the clothing industry of Pakistan? Methodology The research follows a qualitative research method while the deductive approach has been used. The study's main goal is to achieve its objective and solve the research question by utilizing both primary and secondary data. The primary data collection involved conducting four in-depth interviews with3officials of the Pakistan clothing industry. Secondary data was gathered from different sources such as scientific journals, articles, books, and websites to complement the primary data and provide a comprehensive analysis. Findings The finding of this research is that entrepreneurs in the clothing industry face overpricing challenges due to the rising cost of production, the rising cost of raw materials, and the high cost of skilled labor. In technological challenges, the most common challenges entrepreneurs face are outdated machinery, lack of investment in technology, lack of research and development, poor quality, and lack of digital tools. The study also suggests some solutions to these challenges: Sustainable Sourcing, Government Support, Investment in Technology, focused on market research, enhancing the product's value proposition by reducing production costs, Programs for Technology Education, and Training Partnerships with Technology Providers and Consultants Limitations This research conducts only four interviews in Pakistan for primary data collection. The cross-sectional, non-experimental design of the study was a limitation as it only allowed for data to be collected at a single time point.

This study aims to investigate the causal linkage between developers’ pricing strategies and time on market (TOM) in the primary market for residential properties, i.e. a market where the seller is a developer or construction company, since this market differs significantly from the secondary or succession market.Regression models are estimated using a dataset from 11 500 newly built apartment units in the Stockholm, Sweden, sold between June 2010 and March 2018. To describe the investigated data and test the hypothesis if overpricing affects TOM a regression analysis was conducted. The Ordinary Least Squares (OLS) technique was applied explaining the size of TOM as a function of changes in a set of characteristics and conditions (independent variables) in one single equation. To measure an objective Degree of Overpricing (DOP), expected price was obtained by using market data and a hedonic price model controlling property attributes and market conditions. DOP is measured as the normalized difference between selling price and expected price.By using a constructed price model when studying the relationship between the price and multiple independent variables, the empirical results show that an increase in variables such as competitive supply, distance from city centre, monthly fee and selling time lead to a decrease in price while higher floor level lead to an increase in price. Looking into the degree of overpricing and its effect on TOM, a Time on Market model was applied. Generally, the empirical results demonstrate that higher DOP results in longer TOM. An increase in competitive supply and monthly fee result in shorter TOM. When it comes to size, smaller apartments seems to sell faster than larger apartments. Different modulations detect varying significances among the independent variables investigated. Overall, the models display a positive correlation between DOP and TOM.The originality and value of this study lies in the analysis of data collected from several development projects. This study is one of the first study that empirically examine the price-TOM relationship in the Stockholm primary housing market. / Denna studie syftar till att undersöka det kausala sambandet mellan bostadsutvecklarnas prissättningsstrategier och försäljningstiden (TOM) på primärmarknaden för bostäder, dvs. marknaden där säljaren är en utvecklare eller ett byggföretag, eftersom denna marknad skiljer sig avsevärt från den sekundära marknaden eller successionsmarknaden.Regressionsmodeller har beräknats med hjälp av ett dataset om 11 500 nyproducerade lägenheter i Stockholm, som såldes mellan juni 2010 och mars 2018. För att beskriva de undersökta uppgifterna och testa våra hypoteserna, regressionsanalys tillämpades – en statistisk teknik som förklarar storleken av en variabel, kallad beroende variabel, som en funktion av förändringar i en uppsättning andra variabler, som kallas oberoende variabler, genom kvantifiering av en enda ekvation. Metoden Ordinary Least Square (OLS) har använts för att förklara försäljningstidens storlek storleken som funktion av förändringar i en uppsättning egenskaper och villkor (oberoende variabler) i en enda ekvation. För att beräkna graden av överprissättning (DOP), förväntat pris har erhållits med hjälp av marknadsdata och en hedonisk prismodell som kontrollerar fastighetsattribut och marknadsförhållanden. DOP har beräknats som normaliserad skillnad mellan försäljningspris och förväntat pris.Genom att använda en konstruerad prismodell när man studerar förhållandet mellan pris och multipelständiga variabler visar de empiriska resultaten att en ökning av variabler som konkurrenskraftig tillförsel, avstånd från centrum, månadsavgift och annonstid leder till en prisminskning medan högre våning nivå leder till en ökning av priset. När det gäller storlek verkar mindre lägenheter sälja snabbare än större lägenheter. Om man tittar på graden av överprissättning och dess effekt på TOM, tillämpas en TOM-modell. De empiriska resultaten visar att högre DOP resulterar i längre TOM. En ökning av befintliga utbudet och månadsavgiften resulterar i kortare TOM. Överlag, trots vissa motstridiga resultat, visar grundmodellen en positiv korrelation mellan DOP och TOM.Originaliteten och värdet av denna studie ligger i analysen av data som samlats in från flera olika utvecklingsprojekt i Stockholmsområde. Denna studie är en av de första studier som empiriskt undersöker förhållande mellan prissättning och TOM på Stockholms primära bostadsmarknad.

In recent years, the initial public offerings (IPOs) on the Ghana Stock Exchange (GSE) witnessed some level of undersubscriptions. The purpose of this research was to investigate the extent to which valuation, pricing, and performance of prior IPOs listed on the GSE contributed to this state of undersubscriptions. The research was informed by the valuation and pricing framework of Roosenboom. The research questions addressed whether IPOs on the GSE were under/overpriced and whether the projected and pre-issue financials were free from forecasting errors and earnings management. A cross-sectional, explanatory research design was employed to examine a dataset of 30 sampled IPOs. The dataset, obtained from IPO prospectuses, trading data, and financial statements, was analyzed using both logistic and multiple regressions. IPO valuation methods, first-day returns (R(1st day)), absolute forecast errors (AFE), and discretionary current accruals (DCA) served as dependent variables and firm characteristics of size, age, profitability, dividends, price-to-value (P/V) ratios, owner-manager, and auditors' reputation served as independent variables. Results revealed that firm characteristics were not significant predictors of the choice of IPO valuation methods, IPOs were underpriced and their R(1st day) were significantly predicted by P/V ratios, the financial projections were over forecasted and their AFE were not predicted by the independent variables, and the pre-IPO financials experienced earnings management and their DCA were significantly explained by the owner-manager variable. This research contributes to positive social change by assisting regulators, investment bankers, corporations, and institutional investors in improving their respective roles in the valuation and pricing of IPOs on the GSE, thus reducing the observed IPO undersubscriptions in the stock market.

Syftet med studien är att undersöka problemet med övervärdering vid börsintroduktioner, samt att öka förståelsen och uppmärksamma dess potentiella negativa effekter på investerare och företag. Enligt vår kännedom har ingen tidigare genomfört en studie av övervärderade börsintroduktioner på den svenska marknaden. Studien avser att identifiera och undersöka olika faktorer som kan bidra till övervärdering, såsom tillhörighet i teknologibranschen, teckningspriset, marknadsplatsens påverkan och fördelningen av andel svenska- och utländska institutioners ägande. Studien använder data från Refinitiv Eikon, Euroclear och andra källor för att genomföra en analys av svenska börsintroduktioner som ägde rum mellan 2014–2022. Huvudsyftet är att undersöka den procentuella skillnaden i aktiekursen från teckningskurs till stängningskurs på första handelsdagen. Efter att ha applicerat urvalskriterier återstod 294 företag, 38,78 procent av företagen visade negativ avkastning första handelsdagen. En linjär regressionsanalys tillämpas för att analysera det oberoende variablerna. Hypoteser testas med hjälp av p-värde. Värt att notera är att regressionsanalysen enbart inriktades på negativ förstadagsavkastning och inte beaktade positiv eller neutral avkastning. Resultaten av studien indikerar att en ökad andel utländska institutioner, teckningspriset samt företag som noterades på Nasdaq Stockholm signifikant reducerar sannolikheten för övervärdering vid börsintroduktioner. Dessutom observerades en ökad sannolikhet för övervärdering för företag verksamma inom teknologisektorn. Dessa slutsatser ger värdefulla insikter om övervärdering vidbörsintroduktioner och har potential att bidra till en bättre förståelse för både företag och investerare. / The purpose of this study is to examine the issue of overpricing in initial public offerings and its detrimental consequences for investors and corporations. To the best of our knowledge, no prior study has been conducted on overpriced initial public offerings in the Swedish market. By identifying contributing factors, such as being part of the technology sector, offering price, market affiliation and the proportion of domestic and foreign institutions. Using a dataset from Refinitiv Eikon, Euroclear and other sources, our sample consists of 294 companies out of which 38,78 precent preform negatively on the first trading day. The study employs a linear regression model to examine the relationship between these factors and the percentage difference in the share price from offering to the closing price on the first day of trading. Exclusively focusing on negative first day returns. The findings indicate that the presence of an increased proportion of foreign institutions, a higher offering price and firms listed on Nasdaq Stockholm significantly reduce the risk of overpricing. A heightened risk of overpricing was identified for technology companies. These insights provide a valuable understating of IPO pricing mechanisms.