The green bond market offers investors the opportunity to take an explicit focus on sustainable investment projects. However, it is yet to be determined whether this novel asset class offers attractive yields compared to non-green bonds. To address this question, we study European green bonds and how they diverge from conventional bonds in terms of yields. Using a dataset of 88 matched pairs of European green bonds between 2015 and 2019, we document a significant negative green bond premium of -12 bps on average in the secondary market. The green bond premium is defined as the yield differential between a green and a conventional bond while controlling for liquidity. The results suggest that European investors accept a lower financial return in exchange for receiving non-pecuniary benefits and thus challenging the assumptions of classical asset pricing models. Furthermore, we use a matching method and two-step regression to control for liquidity and identify the determinants of the green bond premium. The results show that the negative green bond premium is less pronounced for lower-rated bonds. Moreover, we find support for variations in the green bond premium across different business sectors. Government-related green bonds experience a greater negative green bond premium than green bonds related to financials and industrial corporates.

Capital Asset Pricing Model (CAPM) is an equilibrium model to test relationship between expected return and market risk (Sharpe, 1964). The model research on pricing and return when the securities market reaches equilibrium and investors are rational and investing by diversification based on Markovitz portfolio theory (Markovitz, 1952). Fama and MacBeth (1973) proposed a cross-sectional testing methodology on CAPM and this regression method has been widely used in testing CAPM in developed markets since then. While CAPM is hard to explain more and more market anomalies (excessive return in smaller market value company) in cross section regression, Fama and French (1992) added two more factors (SMB and HML) and proposed three factor model. The empirical results show that three factor model is superior to CAPM in developed markets. Relevant studies have been conducted by Manjuunatha (2006) and Trimech et al. (2015) but show different results. This dissertation will use Fama-MacBeth cross section approach to test CAPM and Fama-French's three factor model in Chinese and Polish stock market respectively. Following Fama and MacBeth (1972) and Shweta and Anil (2015), three sub periods of Polish and Chinese stock market returns ranging from 2007 to 2018 are examined. The empirical results in this thesis...

Titel: Kapitalkostnadsberäkning för investeringar - En kvantitativ studie av svenska börsnoterade bolag Frågeställningar: Hur beräknas kapitalkostnad primärt i svenska börsnoterade bolag? Skiljer sig beräkningen av kapitalkostnad i svenska börsnoterade bolag beroende på faktorer som  företagsstorlek, sektor och företagsmognad? Syfte: Syftet med undersökningen är att få svar på hur beräkning av kapitalkostnad faktiskt går till i börsnoterade bolag i Sverige och huruvida beräkningen varierar i förhållande till faktorerna företagsstorlek, sektor och företagsmognad.  Metod: Genom att använda av de nämnda faktorerna kunde företags olikheter lyftas på ett bra sätt. Det studerade urvalet bestod av 25 respondenter som besvarade en enkät. Med hjälp av enkätsvaren kunde hypoteser formas och testas. Slutsats: Undersökningen visar att det finns vissa statistiskt signifikanta samband mellan kapitalkostnadsberäkning och företagsstorlek samt en studerad sektor. Vidare lyfter studien vissa olikheter i riskhantering mellan olika företagsstorlekar. Studien presenterar också vilka metoder som används mest för beräkning av kapitalkostnad, kostnad för eget kapital samt kostnad för lånefinansiering i Sverige. De är Weighted average cost of capital, Capital asset pricing model respektive genomsnittlig kostnad. / Title: Cost of capital calculation for investments - A quantitative study of Swedish listed companies Research questions:  How is cost of capital generally calculated in Swedish listed companies? Are there any differences in cost of capital calculation methods in Swedish listed companies depending on company size, sector and company maturity? Purpose: This quantitative study intends to highlight how capital cost calculations are made in Swedish companies. Another part of the aim is to investigate connections between cost of capital calculation and the factors company size, sector and company maturity.  Method: By using the factors, different company disparities could be projected in a useful way. The examined sample of 25 companies answered a survey. With these answers hypotheses were formed and tested. Conclusion: This study shows that there are some statistically significant connections between cost of capital calculation and company size and one examined sector. Furthermore, the study also highlights the differences in consideration of risk in different company sizes. This study also presents a result about the most common methods for calculating cost of capital,cost of equity and cost of debt in Sweden. These are Weighted average cost of capital, Capital asset pricing model respectively average cost.

This thesis examines the risk profile of Electronically Traded Funds and the dependence of the ESG rating on risk. 527 ETFs with exposure globally were analyzed. Risk measures considered were Value-at-Risk and Expected Shortfall, while some other metrics of risk was used, such as the volatility, maximum drawdown, tail dependece, and copulas. Stress tests were conducted in order to test the resilience against market downturns. The ETFs were grouped by their ESG rating as well as by their carbon intensity. The results show that the lowest risk can be found for ETFs with either the lowest ESG rating or the highest. Generally, a higher ESG rating implies a lower risk, but without statistical significance in many cases. Further, ETFs with a higher ESG rating showed, on average, a lower maximum drawdown, a higher tail dependence, and more resilience in market downturns. Regarding volatility, the average was shown to be lower on average for ETFs with a higher ESG rating, but no statistical significance could be found. Interestingly, the results show that investing sustainably returns a better financial performance at a lower risk, thus going against the Capital Asset Pricing Model. / Denna studie undersöker riskprofilen för elektroniskt handlade fonder och sambandet mellan risk och hållbarhetsbetyg. 527 ETF:er med global exponering analyserades. De riskmått som användes var Value-at-Risk och Expected Shortfall, och några andra mått för risk användes, däribland volatilitet, största intradagsnedgång, samband i svansfördelning, och copulas. Stresstest utfördes för att testa motsåtndskraften i marknadsnedgångar. ETF:erna grupperades med hjälp av deras hållbarhetsbetyg och deras koldioxidintensitet. Resultatet visar att lägst risk finns i ETF:er med högst respektive lägst hållbarhetsbetyg. Generellt har ETF:er med högre hållbarhetsbetyg en lägre risk, med endast viss statistisk signifikans. Därtill har ETF:er med högre hållbarhetsbetyg, i genomsnitt, en lägre största intradagsnedgång, högre samband i fördelningssvansarna och är mer motståndskraftiga i marknadsnedgångar. Volatiliteten är i genomsnitt lägre desto högre hållbarhetsbetyget är, men detta resultat saknar statistisk signifikans. Ett intressant resultat är att om man investerar hållbart kan man få en högre avkastning med en lägre risk, vilket går emot Capital Asset Pricing Model.

Hedge funds use a variety of different financial instruments in order to try to achieve over-average returns without taking on excessive risk - options being one of the most common of these instruments. Basket options is a type of option that is written on several underlying assets that can be used to hedge risky positions. This project has been working together with the hedge fund Proxy P to develop software to construct basket options and to analyze their use as a hedging strategy. Construction of basket options can be performed through the use of several different mathematical models. These models range from complex continuous models, such as Monte Carlo simulations, to simple discrete models, such as the binomial option pricing model. In this project, the binomial option pricing model was chosen as the main tool to determine some quantities of basket options. It can conveniently handle both European and American options, independently of whether these are put or call options. The quantities calculated, the option price and option Delta, are dependent on the volatility and the initial price of the underlying. When evaluating the basket option there are two key assumptions that need to be studied. These key assumptions are if the weights and the initial price of the underlying change with each time step, or if they are held constant. It was found that both the weights and the price of the underlying should change dynamically with each time step. Furthermore, in order to evaluate the performance of the basket options used as a hedge, the project used historical data and measured how the options neutralized negative movements in the underlying. This was done through the use of the option Delta and the hedge ratio. What could be concluded was that the put basket option can serve as a relatively inexpensive hedge and minimize the risk on the downside in a sufficient matter. / Hedgefonder använder en rad olika finansiella instrument, där optioner är ett av de mest förekommande av dessa, för att generera överavkastning utan att ta överdriven risk. Korgoptioner, eller basket options som de kallas på engelska, är en typ av option som är skriven på flertalet underliggande tillgångar som kan användas för att gardera finansiella institutioner mot risk. Det här projektet har samarbetat med den svenska hedgefonden Proxy P för att utveckla programvara för att konstruera korgoptioner och evaluera hur de kan användas som hedgingstrategi. Konstrueringen av dessa korgoptioner kan göras med hjälp av flertalet matematiska mo-deller. Allt ifrån komplexa kontinuerliga modeller, som Monte Carlo simulering, till mer simpla diskreta modeller, som binomialprissättningsmodellen, kan användas. I detta projekt kommer binomialprissättningsmodellen användas för att beräkna relevanta kvantiteter gällande korgoptioner. Modellen kan hantera både optioner av den amerikanska och euro-peiska varianten, samt sälj- och köpoptioner. Relevanta kvantiteterna som benämnts gäller optionspriset samt optionens Delta, där dessa beror på marknadsvolatiliteten och startpriset på den underliggande tillgången. Vid utvärdering av korgoptionen behöver två antaganden tas i beaktande: att vikterna och initiala priset på underliggande ändras vid varje tidssteg eller om de hålls konstanta. Slutsatsen kunde dras att både vikterna och den underliggande tillgångens pris skulle vara dynamiska och därmed ändras vid varje tidssteg. För att kunna utvärdera hur väl korgoptioner fungerade som en hedge använde projektet historisk data för att utvärdera hur optionen neutraliserade negativa rörelser i den under-liggande tillgången. Denna utvärdering gjordes med avseende på Deltat hos optionen och hedgekvoten. Slutsatsen som kunde dras var att korgoptioner är ett relativt billigt sätt att hedga och minimera nedsidans risk.

Fear of crime may differ between areas, even if levels of crime do not differ. Policymakers and companies should be interested in how much economical values individuals put on their emotions. No previous paper has tried to estimate the economic consequences of the kind of fear of crime that does not stem from an increase in crime. Through a hedonic fixed effect-approach and a unique data set, I close this gap by estimating the willingness to pay to avoid that fear. As the outcome variable, I use sold apartments in Stockholm municipality in the years 2017 and 2020. I find suggestive evidence of small to moderate effect of fear of crime on housing prices, even after controlling for crime levels, with an elasticity of -2% to -6%. The results are robust throughout different robustness tests. These findings may help politicians in their cost-benefit analyses when planning safety-increasing projects.

[pt] Este trabalho busca analisar a divergência observada, quanto à aplicabilidade do prêmio de risco por tamanho, entre a proposta apresentada pela TBG – Transportadora Gasoduto Bolívia-Brasil e a resposta da ANP - Agência Nacional de Petróleo para estimação do custo de capital próprio que balizará a tarifa máxima de transporte de gás natural para a empresa regulada. Tanto a TBG quanto a ANP adotaram o Capital Asset Price Model – CAPM como modelo para estimação do custo de capital próprio, no entanto, a proposta da TBG considerou o prêmio de risco por tamanho, ao passo que a resposta da Agência Reguladora não acatou a inclusão desse prêmio, conforme consta na nota técnica nº 007/2018-SIM de 16 de julho de 2018. Para analisar a divergência em relação ao prêmio de risco por tamanho, foi o utilizado modelo de três fatores de Fama e French (1993), que considera, além do risco sistemático adotado no CAPM, os fatores tamanho e índice B/M (book-to-market) para mensuração do custo de capital próprio. Os resultados encontrados, com base no modelo de três fatores de Fama e French (1993), não indicam aplicabilidade do prêmio de risco por tamanho para estimação do custo de capital próprio no mercado regulado de transporte de gás natural, pois os coeficientes dos fatores small minus big (SMB) e high minus low (HML) não apresentaram resultados com significância estatística para diversas das carteiras analisadas. Adicionalmente, as empresas de menor porte (small) e de alto índice B/M (high) apresentaram, entre julho de 2009 e junho de 2018, retornos médios inferiores às empresas maiores (big) e de baixo índice B/M (low), não evidenciando a existência de prêmios de risco por tamanho e por valor. / [en] The purpose of this study is to analyze the divergence observed regarding the applicability of the size risk premium, between the proposal presented by TBG - Brazilian Transporter Gasoduto Bolívia-Brasil and the response of ANP - National Petroleum Agency, in the estimation of the cost of equity that will define the maximum rate for the transport of natural gas to the regulated company. Both TBG and ANP adopted the Capital Asset Price Model (CAPM) model, however, TBG proposal considered the size risk premium while ANP response did not accept the inclusion of this premium as stated in technical note no. 007/2018-SIM of July 16, 2018. To analyze this divergence was used the Fama and French three factor model (1993) that considers, besides the systematic risk adopted in the CAPM, the factors size and B/M (book-to-market) index for measuring the cost of equity. The results obtained, based on Fama and French three factors model (1993), do not indicate the applicability of the size risk premium for estimative of the cost of equity in the regulated natural gas transportation market, since the small minus big (SMB) and high minus low (HML) factor s coefficients did not present statistical significant results for some of the analyzed portfolios. In addition, smaller and high B/M companies presented, between July 2009 and June 2018, lower average returns than bigger and low B/M companies, not evidencing the existence of size and value risk premiums.

資本資產定價模型 (CAPM) 由Sharp (1964)、Lintner (1965)及Black (1972)發展出後，近年來已被廣泛的應用於衡量證券之預期報酬率與風險間之關係。一般而言，衡量結果之估計有兩個階段，首先由時間序列分析估計出貝它(beta)係數，然後再檢定廠商或投資組合之平均報酬率與貝它係數之關係。 Fama與MacBeth (1973)利用最小平方法估計貝它係數，再將由橫斷面迴歸方法所得出之斜率係數加以平均後，以統計t-test檢定之。然而以最小平方法估計係數，其估計值很容易受離群值之影響，因此本研究考慮以穩健估計 (robust estimator)來避免此一問題。另外，本研究亦將長期資料分析 (longitudinal data analysis) 引入CAPM裡，期望能檢定貝它係數是否能確實有效地衡量出系統性風險。 論文中以台灣股票市場電子業之實證分析來比較上述不同方法對CAPM的結果，資料蒐集期間為1998年9月至2001年12月之月資料。研究結果顯示出，穩健估計相對於最小平方法就CAPM有較佳的解釋力。而長期資料分析模型更用來衡量債券之超額報酬部分，是否會依上、中、下游或公司之不同而不同。 / The Capital Asset Pricing Model (CAPM) of Sharp (1964), Lintner (1965) and Black (1972) has been widely used in measuring the relationship between the expected return on a security and its risk in the recent years. It consists of two stages to estimate the relationship between risk and expected return. The first one is that betas are estimated from time series regressions, and the second is that the relationship between mean returns and betas is tested across firms or portfolios. Fama and MacBeth (1973) first used ordinary least squares (OLS) to estimate beta and took time series averages of the slope coefficients from monthly cross-sectional regressions in such studies. However it is well known that OLS is sensitive to outliers. Therefore, robust estimators are employed to avoid the problems. Furthermore, the longitudinal data analysis is applied to examine whether betas over time and securities are the valid measure of risk in the CAPM. An empirical study is carried out to present the different approaches. We use the data about the Information and Electronic industry in Taiwan stock market during the period from September 1998 to December 2001. For the time series regression analysis, the robust methods lead to more explanatory power than the OLS results. The linear mixed-effect model is used to examine the effects of different streams and companies for the security excess returns in these data.

論文名稱：公司信用風險之衡量 校所組別：國立政治大學金融研究所 畢業時間：九十年度第二學期 提要別：碩士學位論文提要 研究生：林妙宜 指導教授：陳松男博士 論文提要及內容： 信用風險一直是整體金融環境非常重要的一環，銀行授信、商業交易、投資評估，都會對信用風險做仔細的研究與評估。本論文以台灣的公司為樣本，採用會計財務比率與股票價格，主要兩項反映公司體質的資訊，建構信用風險模型，期望能提供台灣公司信用風險衡量上，公正而有效的指標。 以財務比率為基礎的區別分析模型，選取變數為獲利能力指標的常續性EPS、現金流量指標的現金流量對負債、成長率指標的盈餘成長率、償債能力指標的負債比率，與經營能力指標的平均收帳天數，這五項財務比率涵蓋企業繼續經營與財務狀況的各個層面。區別分析模型在財務危機前一年可達正確分類率91．67%。 以股票市場價格為基礎的選擇權模型，可由每日之股票價格求算出預期違約機率，將市場對公司價值的衡量轉化為信用風險的程度，能即時掌握公司體質的變化，做出適當之因應。 關鍵字：信用風險、財務危機、會計資訊、財務比率、區別分析、股票價格、選擇權模型、預期違約機率 / Title of Thesis: Corporate Credit Risk Measurement Name of Institute: Graduate Institute of Money and Banking, NCCU Graduate Date: June, 2002 Name of Student: Lin, Miao-Yi Advisor: Dr. Chen, Son-Nan Abstract: Credit Risk has been the great concern in the financial market. Before the bank grants a loan or the company makes deals and investment, they first consider the credit risk of the conterparty. The empirical study tries to construct the credit risk models based on the public firms in Taiwan. Using financial ratios and stock prices, the two main sources of corporate financial information, we expect to provide a fair and efficient indicator to measure the corporate credit risk in Taiwan. In the discriminant analysis based on accounting data, the model chooses five financial ratios that cover the corporate operation and financial situation. They are earnings per share, operating cash flow to total debt, equity substantial growth rate, and average days to accounts receivable. The discrimanant analysis model can accurately classify 91.67% of the data as being default or solvency one year before the financial distress. In the option pricing model based on stock prices, the expected default probability can be solved by daily stock prices. In this model, how the market values the firm is turned into the level of credit risk, which can help us catch the changes of corporate soundness and make proper responses. Keywords: Credit Risk, Financial Distress, Accounting Data, Financial Ratio, Discrimanant Analysis, Stock Prices, Option Pricing Model, Expected Default Probability

人類的思考決策與行為結果，大多是依循一個明確的市場制度而為的，故市場經濟制度的重要性，就在於有利個人形成如何有效配置資源的合理預期，同時也富有約束及激勵個人行為的誘因，讓個人能在制度約束的條件下，追求自利動機的極大化。都市空地再利用及市地重劃的法令制度，就具有這樣的經濟效應，所以本研究主要在探討，在空地再利用及市地重劃制度的約束與激勵條件下，都市中的經濟人行為決策與個體互動所形成的空間外部性，其會如何反應在住宅土地價格的變動，以探討空地再利用及空地開發所產生的空間外部性對住宅土地價格之影響。本文主要包括（1）空地再利用對住宅土地價格之影響；（2）空地再利用及鄰里土地開發對新建住宅土地價格之影響；（3）空間外部性、交易成本與市地重劃對新建住宅土地價格之影響等。 首先，有關「空地再利用對住宅土地價格之影響」，本文以Geoghegan（2002）的理論模型為基礎，主要探討空地再利用所產生的開放空間效果，其對於住宅土地價格的影響分析。本文運用地理資訊系統及空間計量分析，並建立民國九十三年及九十四年住宅土地的特徵價格模型，研究對象以台南市為例。實證結果發現，公有空地再利用作為公園及臨時停車場使用，其對於住宅土地價格產生正的空間外溢效果，此表示空地再利用所產生的開放空間的外溢利益，其大於空地管理維護的外溢成本。私有空地再利用作為運動場使用，民國九十三年的外部成本大於外部利益，但於民國九十四年的外部利益大於外部成本，故就私有空地再利用的外溢效果而言，私有空地再利用作為運動場使用的外溢效果可由負向轉為正向。公有空地再利用的邊際價格較私有空地再利用的邊際價格為高，故政府應繼續推動公有空地再利用的政策，以彌補鄰里的開放空間不足。 其次，有關「空地再利用及鄰里土地開發對新建住宅土地價格之影響」，本文主要在探討空地再利用所產生的開放空間效果，及鄰里土地開發所產生的空間外溢效果，兩者對於新建住宅土地價格的影響分析，本研究範圍以台南市民國九十三年的新建住宅為對象。實證結果發現，公有空地再利用對於新建住宅土地價格具有正的空間外溢效果，此表示開放空間的外溢利益大於空地管理維護的外溢成本。鄰里土地開發作為住宅使用時，會對新建住宅土地價格形成正的空間外溢效果，但當鄰里土地開發作為工廠使用時，卻會對新建住宅土地價格形成負的空間外溢效果。最有價值的住宅土地為，開放空間數量最大化及土地開發數量的最小化，故當永久性的開放空間(如鄰里公園)、可開發性的開放空間(如公有空地再利用)數量增加，以及鄰里工廠土地開發數量減少等，其將有助提高新建住宅土地價格。 最後，有關「空間外部性、交易成本與市地重劃對新建住宅土地價格之影響」，本文主要從政府實施市地重劃有助於降低交易成本的觀點，探討政府實施市地重劃制度及建設商的土地開發行為所產生的空間外部性，其反應在新建住宅土地價格的影響。本文運用空間計量分析及地理資訊系統，並結合Box-Cox函數轉換，以建構具有空間外部性的特徵價格模型。本文研究範圍以台南市民國八十年、八十五年及九十年的新建住宅為對象。實證結果得知，空間誤差Box-Cox模型對於空間外部性提供良好的解釋力。政府實施市地重劃之後對住宅土地價格具有正向外部性，且有政府參與的重劃區所反應的住宅土地邊際價格為正向關係。而建設商個體互動關係則具有正向及負向外部性，並在長期下出現由正向轉為負向之情況，此證明空間外部性會呈現相互性的現象，進而反應在新建住宅土地價格上會有增減的作用。 / This study mainly assumes that development of vacant land give rise to spatial externalities from the reuse of vacant land and the institution of land readjustment. Finally, this effect will be reflected in the residential land prices. To test this hypothesis, this study applies spatial econometric and geographic information systems based on hedonic pricing model. This study mainly includes that (1) The Impact of Reusing Vacant Land on Residential Land Prices, ( 2) The Impact of Reusing Vacant Land and Neighboring Land Development on Newly-Built Residential Land Prices, ( 3) The Impact of Spatial Externalities, Transaction Costs and Land Readjustment on Newly-Built Residential Land Prices, and evidence from Tainan City in Taiwan. First of all, about’ The Impact of Reusing Vacant Land on Residential Land Prices’, This study is based on Geoghegan’s theoretical model (2002) and focuses on open space effect of reusing vacant land on residential land prices. The data are selected from residential land prices in 2004, 2005. Empirically, I find that the reuse of publicly-owned vacant land used for green and park has positive spatial spillover effects. This means that spillover benefit of open space is more than spillover cost of vacant land management. The reuse of privately-owned vacant land used for sport has negative spatial spillover effects in 2004. The marginal price of publicly-owned vacant land is over than privately-owned vacant land. It is concluded that, the government should continue promoting the reuse of publicly-owned vacant land and used for open space of the neighborhood. Secondly, about’ The Impact of Reusing Vacant Land and Neighboring Land Development on Newly-Built Residential Land Prices’, This study focuses on open space effect of reusing vacant land and spatial spillover effect of neighboring land development on newly-built residential land prices. The data are selected from newly-built residence in 2004. Empirically, I find that the reuse of publicly-owned vacant land has positive spatial spillover effects on newly-built residential land prices. This means that spillover benefit of open space is more than spillover cost of vacant land management. Land development used for residence has positive spatial spillover effects and used for factory has negative spatial spillover effects in a neighborhood. This means that more the reuse of publicly-owned vacant land will increase newly-built residential land prices, while more land development used for factory will decrease newly-built residential land prices in a neighborhood. Finally, about’ The Impact of Spatial Externalities, Transaction Costs and Land Readjustment on Newly-Built Residential Land Prices’, This Study mainly assumes that land readjustment can reduce transaction costs in terms of the spatial externalities from developers’ behavior and the institution of land readjustment. This effect will be reflected in the newly-built residential land prices. To test this hypothesis, I apply spatial econometric analysis and geographic information systems based on the Box-Cox hedonic pricing model. The data are selected from newly-built residence from between 1991, 1996 and 2001. Empirically, I find that the spatial error Box-Cox model is appropriate for engaging in spatial externalities analysis. This is because the results show that land readjustment gives rise to positive spatial externalities on newly-built residential land prices and the marginal price of residential land in areas where land readjustment takes place is also positive. The effects of developers’ interactions give rise to positive spatial externalities but these change to negative spatial externalities in relation to newly-built residential land prices in the long term. It is concluded that, land readjustment as implemented by the government really does contribute to reducing uncertainty in the land development process, and also reduces transaction costs between construction practitioners and landlords.