Academic literature on the topic 'Maket derived capital pricing model'

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Journal articles on the topic "Maket derived capital pricing model"

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Jarrow, Robert. "An Equilibrium Capital Asset Pricing Model in Markets with Price Jumps and Price Bubbles." Quarterly Journal of Finance 08, no. 02 (2018): 1850005. http://dx.doi.org/10.1142/s2010139218500052.

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This paper derives an equilibrium capital asset pricing model (CAPM) in a market where asset prices can exhibit price jumps and price bubbles. We derive a generalized intertemporal CAPM and consumption CAPM for these markets. The derived risk-return relation differs from the classical results only in the characterization of the state price density, which depends on the existence of price bubbles, and in the number and quantity of systematic risk factors with nonzero risk premia.
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Müller, Heinz H. "Economic Premium Principles in Insurance and the Capital Asset Pricing Model." ASTIN Bulletin 17, no. 2 (1987): 141–50. http://dx.doi.org/10.2143/ast.17.2.2014969.

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AbstractAn insurance company is considered as an intermediary between policyholders and the capital market. By applying the traditional and the generalized version of the capital asset pricing model, a class of premium principles can be derived. This class is fully compatible with Bühlmann's economic premium principle. Moreover, insurance premiums can be directly related to risk premiums on the stock exchange.
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BRIGO, DAMIANO, JOÃO GARCIA, and NICOLA PEDE. "COCO BONDS PRICING WITH CREDIT AND EQUITY CALIBRATED FIRST-PASSAGE FIRM VALUE MODELS." International Journal of Theoretical and Applied Finance 18, no. 03 (2015): 1550015. http://dx.doi.org/10.1142/s0219024915500156.

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Since the beginning of the credit and liquidity crisis, financial institutions have been considering creating a convertible-bond type contract focusing on capital. Under the terms of this contract, a bond is converted into equity if the authorities deem the institution to be under-capitalized. This paper discusses this contingent capital (CoCo) bond instrument and presents a pricing methodology based on firm value models that calibrate exactly the credit term structure of the issuer either through credit default swaps or corporate bonds data. Decorrelation between the capital conversion trigge
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Muzir, Erol, Cevdet Kizil, and Burak Ceylan. "Role of International Trade Competitive Advantage and Corporate Governance Quality in Predicting Equity Returns: Static and Conditional Model Proposals for an Emerging Market." Journal of Risk and Financial Management 14, no. 3 (2021): 125. http://dx.doi.org/10.3390/jrfm14030125.

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This paper aims to develop some static and conditional (dynamic) models to predict portfolio returns in the Borsa Istanbul (BIST) that are calibrated to combine the capital asset-pricing model (CAPM) and corporate governance quality. In our conditional model proposals, both the traditional CAPM (beta) coefficient and model constant are allowed to vary on a binary basis with any degradation or improvement in the country’s international trade competitiveness, and meanwhile a new variable is added to the models to represent the portfolio’s sensitivity to excess returns on the governance portfolio
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Scholz, Alexander, Stephan Lang, and Wolfgang Schaefers. "Liquidity and real estate asset pricing: a pan-European study." Journal of European Real Estate Research 7, no. 1 (2014): 59–86. http://dx.doi.org/10.1108/jerer-06-2013-0009.

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Purpose – Understanding the pricing of real estate equities is a central objective of real estate research. This paper aims to investigate the impact of liquidity on European real estate equity returns, after accounting for well-documented systematic risk factors. Design/methodology/approach – Based on risk factors derived from general equity data, the authors extend the Fama-French time-series regression approach by a liquidity factor, using a pan-European sample of 272 real estate equities. Findings – The empirical results indicate that liquidity is a significant pricing factor in real estat
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Brazauskas, Vytaras, and Sahadeb Upretee. "Model Efficiency and Uncertainty in Quantile Estimation of Loss Severity Distributions." Risks 7, no. 2 (2019): 55. http://dx.doi.org/10.3390/risks7020055.

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Quantiles of probability distributions play a central role in the definition of risk measures (e.g., value-at-risk, conditional tail expectation) which in turn are used to capture the riskiness of the distribution tail. Estimates of risk measures are needed in many practical situations such as in pricing of extreme events, developing reserve estimates, designing risk transfer strategies, and allocating capital. In this paper, we present the empirical nonparametric and two types of parametric estimators of quantiles at various levels. For parametric estimation, we employ the maximum likelihood
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Siripanich, Amarin, Taha Hossein Rashidi, and Emily Moylan. "Interaction of Public Transport Accessibility and Residential Property Values Using Smart Card Data." Sustainability 11, no. 9 (2019): 2709. http://dx.doi.org/10.3390/su11092709.

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This study examines the relationship between residential property values and accessibility indicators derived from transit smart card data. The use of smart card data to estimate accessibility indicators for explaining the housing market has not yet been explored in the literature. Hence, this paper employs information from Brisbane, Australia’s “go card” and corresponding property data to develop residential property hedonic pricing models using an ordinary least square (OLS) model, a spatial lagged model (SL), a spatial error model (SE), and a geographically weighted regression (GWR). Due to
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Hasan, Md Zobaer, and Anton Abdulbasah Kamil. "Contribution of Co-Skewness and Co-Kurtosis of the Higher Moment CAPM for Finding the Technical Efficiency." Economics Research International 2014 (January 16, 2014): 1–9. http://dx.doi.org/10.1155/2014/253527.

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The objective of this paper is to present the technical efficiency of individual companies and their respective groups of Bangladesh stock market (i.e., Dhaka Stock Exchange, DSE) by using two risk factors (co-skewness and co-kurtosis) as the additional input variables in the Stochastic Frontier Analysis (SFA). The co-skewness and co-kurtosis are derived from the Higher Moment Capital Asset Pricing Model (H-CAPM). To investigate the contribution of these two factors, two types of technical efficiency are derived: (1) technical efficiency with considering co-skewness and co-kurtosis (WSK) and (
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Hitchcox, A. N., I. A. Hinder, A. M. Kaufman, T. J. Maynard, A. D. Smith, and M. G. White. "Assessment of Target Capital for General Insurance Firms." British Actuarial Journal 13, no. 1 (2007): 81–168. http://dx.doi.org/10.1017/s1357321700001446.

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ABSTRACTCapital and cost of capital form a bridge between the insurance firm and the financial markets. The term capital is used in various ways. In current parlance, economic capital is frequently used to mean capital calculated using a risk-based measure which is independent of the regulatory requirements. In this paper we discuss the concept of target capital, where the firm takes account of three different approaches to risk appetite: regulatory capital plus a buffer; rating agency views; and the views of shareholders, where they make commitments to customers and wish to protect franchise
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Tadepalli, Meher Shiva, and Ravi Kumar Jain. "Persistence of calendar anomalies: insights and perspectives from literature." American Journal of Business 33, no. 1/2 (2018): 18–60. http://dx.doi.org/10.1108/ajb-08-2017-0020.

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Purpose Market efficiency suggests that price of the security must reflect its intrinsic value by impounding all the available and accessible information. Asset pricing in capital markets has been an exceptionally dynamic area of scholarly research and is considered as a barometer for assessing market efficiency. This phenomenon was very well explained by several market pricing models and theories over the last few decades. However, several anomalies, which cannot be explained by the traditional asset pricing models due to seasonal and psychological factors, were observed historically. The sam
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Dissertations / Theses on the topic "Maket derived capital pricing model"

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Van, der Berg Gerhardus Johannes. "The relationship between the future outlook of market risk and capital asset pricing." Diss., University of Pretoria, 2010. http://hdl.handle.net/2263/26386.

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The most widely used Cost of Capital model is the Capital Asset Pricing Model. The Beta, Which is a key input into the model has proven to be unreliable and provides no correlation with systematic risk. As risk increases, so should the cost of capital of the firm. The Beta is a historic measure of risk and does not capture the future outlook of risk. The future of an organisation and its risk may look very different to the past and therefore the need to calculate the Cost of Capital of a firm based on the future outlook of the firm. The aim of this research was to analyse the different methodo
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Chivaura, Samuel William. "Market derived capital asset pricing model: cost of equity capital in a South African context." Thesis, 2013. http://hdl.handle.net/10539/13060.

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Thesis (M.M. (Finance & Investment))--University of the Witwatersrand, Faculty of Commerce, Law and Management, Graduate School of Business Administration, 2013.<br>The Capital Asset Pricing Model (CAPM) is widely used in estimating cost of equity capital. CAPM relies on historical data to estimate beta which is subsequently used to calculate ex-ante returns. Several authors have highlighted anomalies with CAPM and have proposed various models that capture these anomalies. This study investigates the Market Derived Capital Asset Pricing Model (MCPM), an ex-ante model that uses traded optio
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Book chapters on the topic "Maket derived capital pricing model"

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Wisniewski, Piotr. "The Management and Performance of Social Media Initial Public Offerings (IPOs)." In Analyzing the Strategic Role of Social Networking in Firm Growth and Productivity. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0559-4.ch001.

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Social media companies have increasingly used global stock exchanges to raise fresh capital needed to expand and commercialise their business models. Despite the soaring proliferation of social media interactions and improving economic fundamentals, many of the high-profile IPOs have underperformed on debut and in secondary trading. This chapter seeks to identify success and failure factors of social media stock market flotations from the operational, industrial and financial perspectives. The research features flagship social media IPOs comprised by the most representative social media Exchange Traded Fund (ETF), the Global X Social Media Index ETF (SOCL), which replicates the price and return performance of the globally recognised Solactive Social Media Total Return Index. The analysis sums up the early evidence of IPO organisation with regard to social media issuers and posits three decisive factors in this process related to: flotation timing, pricing and pre-IPO business integration. The research offers some practical recommendations for future social media IPOs as well as directions for further academic studies at the interface of social media industrial, economic and capital market activity. The following takeaways concerning social media IPOs emerge from the study: 1) Staging and timing: social media companies should mull flotations when a clear-cut path toward cash generation and accrual profits is observable (chronically cash deficient and unprofitable social media tend to underperform on debut and in post-IPO trading) and amid protracted bull markets so as to raise the odds of a propitious IPO climate; 2) Organisation and management: the success of social media going public decisions is a function of seamless IPO organisation (including conservative pricing, share dilution tied to envisaged liquidity and capital expenditure as well as trading and clearing system reliability); 3) Issuer characteristics: social media IPOs are facilitated by businesses commanding a dominant position on the home market, having a diversified core business (including exposure to non-media operations), coming on the stock market either as industry trendsetters or in the wake of successfully executed IPO benchmarks; 4) Factor coalescence: no isolated factor discussed in this chapter can fully explain the performance of a social media IPO – it is rather their combination and interconnectivity that can comprehensively attest to the success or failure of a going public strategy employed by a social media company. From the investment standpoint, the case study analysis demonstrates that a case-by-case (rather than sectoral) approach needs to be adopted for investors seeking to derive gains from social media IPOs, as passive exposure to the entire industry (e.g. via index tracking) is not per se a guarantor of market competitive investment performance.
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