Elias Fiebig – författare
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4 produkter
4 produkter
Häftad, Engelska, 2015
539 kr
Skickas inom 3-6 vardagar
E-bok
PDF, Engelska, 2016396 kr
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Seminar paper from the year 2016 in the subject Business economics - Business Management, Corporate Governance, grade: A, Copenhagen Business School (Department of Finance), language: English, abstract: Inspired by previous research this paper investigates whether personal CEO characteristics such as age, CEO tenure, gender, MBA and variable salary (%) have a significant effect on firm bankruptcy risk measured using the Altman-Z-Score and the Ohlson-O-Score. This work is based on literature suggesting (i) CEO managerial characteristics such as overconfidence and optimism lead to higher leverage and increased risk-taking and that (ii) higher levels of debt and increased risk-taking behavior add to the likelihood of corporate financial distress. Using panel data on S&P 500 constituents during 1994-2014 our results provide evidence that CEO age and holding an MBA is positively associated with bankruptcy risk while CEO tenure and variable salary (%) seem to be negatively related to a firm s propensity to default. Collectively, our results remain mostly unchanged over various robustness tests employing both pooled OLS and the least squares dummy variable (LSDV) model as well as year, industry and company fixed effects as control variables. Next to significant support that managerial attributes, traits, and style may help to understand organizational outcomes, this project also provides insights how available public information can be used to further explain style effects by disentangling them into separate, measurable impact factors.
Häftad, Engelska, 2016
786 kr
Skickas inom 3-6 vardagar
E-bok
PDF, Engelska, 2018515 kr
Läs direkt efter köp
Master's Thesis from the year 2017 in the subject Business economics - Investment and Finance, grade: 12/12, Copenhagen Business School (Department of Finance), language: English, abstract: Within this thesis, we develop and apply a comprehensive, yet tractable framework comprising 10 sequential steps for the evaluation of claims on corporations suffering from distress. While traditional industry approaches yield consistent and unbiased valuations for claims on a healthy firm's assets, we find encumbering evidence that results may be distorted if the valuation object experiences severe financial or economic difficulties. Standard present value, multiple, or accrual based equity valuation methods are deterministic in nature and hence, fail to properly account for the elevated idiosyncratic uncertainties surrounding distress. Initiated by Merton (1974), on the other hand, asset pricing research has suggested structural models as a theoretically superior alternative explicitly incorporating the optionality features and asymmetric payoff-profiles of limited liability claims. However, these models have been rarely adopted by industry professionals for their proclaimed complexity, lack of transparency and stylized assumptions on the valuation object s capital structure. Accordingly, the proposed framework aims to overcome the above shortcomings of the original Merton (1974) model and eventually allows for an intuitive, seamless pricing of multiple claims with diverse maturity and coupon profiles based on their absolute priority ranking in bankruptcy. First, we provide a thorough characterization of both economic and financial distress and accompanying (firm) characteristics based on which a framework applicability assessment can be performed. Besides, we stress a comprehensive discussion how model input parameters can be estimated reliably. Subsequently, we perform a holistic application of the framework to the distressed German air carrier Air Berlin. Model outputs imply a current market undervaluation of common equity by 52%. While our analysis demonstrates remarkable upsides of the framework compared to traditional valuation procedures, we conclude that a separate estimation of a going concern- and a liquidation value only partially circumvents frictions associated with the computation of a distressed firm s overall asset value. Moreover, we find that model results are highly sensitive to changes in input factors in general and the expected asset drift rate in particular, implying a considerably low robustness to estimation errors.