Journals / Yönetim ve Ekonomi: Celal Bayar Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi / 2006 / Cilt: 13 - Sayı: 1

Forecasting Systematic Risk Measure Beta Coefficient for Private Companies

Halka Açık Olmayan Şirketlerde Sistematik Risk Ölçütü Beta Katsayısının Tahmin Edilmesi

Pages
121–134
Publication Date
2022-11-03
DOI
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AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Systematic risk being insensitive to portfolio diversification affects all financial markets and all financial assets operated in these markets.Systematic risk measure beta coefficient shows the sensitivity of the securities’ returns to variations in the market return.Beta coefficient is forecasted by using regression model.For publicly traded firms, we know the historical market datas,thus there is no difficulty for estimating beta coefficients of these firms.On the other hand,private companies do not have a market price history.Consequently there are difficulties for estimating beta coefficients of private companies.In this study,to forecast beta coefficients for private firms,three models or approaches are suggested and with details analysed.These models or approaches are accounting betas,fundamental betas and comparable publicly traded firms betas.

📌 3 Key Takeaways

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Objective & Hypothesis:Systematic risk being insensitive to portfolio diversification affects all financial markets and all financial assets operated in these markets.Systematic risk measure beta coefficient shows the sensitivity of the securities’ returns to variations in the market return.Beta coefficient is forecasted by using regression model.For publicly traded firms, we know the historical market datas,thus there is no difficulty for estimating beta coefficients of these firms.On the other hand,private companies do not have a market price history.Consequently there are difficulties for estimating beta coefficients of private companies.In this study,to forecast beta coefficients for private firms,three models or approaches are suggested and with details analysed.These models or approaches are accounting betas,fundamental betas and comparable publicly traded firms betas.
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Key Findings & Data:Systematic risk being insensitive to portfolio diversification affects all financial markets and all financial assets operated in these markets.Systematic risk measure beta coefficient shows the sensitivity of the securities’ returns to variations in the market return.Beta coefficient is forecasted by using regression model.For publicly traded firms, we know the historical market datas,thus there is no difficulty for estimating beta coefficients of these firms.On the other hand,private companies do not have a market price history.Consequently there are difficulties for estimating beta coefficients of private companies.In this study,to forecast beta coefficients for private firms,three models or approaches are suggested and with details analysed.These models or approaches are accounting betas,fundamental betas and comparable publicly traded firms betas.
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Conclusion & Impact:Systematic risk being insensitive to portfolio diversification affects all financial markets and all financial assets operated in these markets.Systematic risk measure beta coefficient shows the sensitivity of the securities’ returns to variations in the market return.Beta coefficient is forecasted by using regression model.For publicly traded firms, we know the historical market datas,thus there is no difficulty for estimating beta coefficients of these firms.On the other hand,private companies do not have a market price history.Consequently there are difficulties for estimating beta coefficients of private companies.In this study,to forecast beta coefficients for private firms,three models or approaches are suggested and with details analysed.These models or approaches are accounting betas,fundamental betas and comparable publicly traded firms betas.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Systematic risk being insensitive to portfolio diversification affects all financial markets and all financial assets operated in these markets.Systematic risk measure beta coefficient shows the sensitivity of the securities’ returns to variations in the market return.Beta coefficient is forecasted by using regression model.For publicly traded firms, we know the historical market datas,thus there is no difficulty for estimating beta coefficients of these firms.On the other hand,private companies do not have a market price history.Consequently there are difficulties for estimating beta coefficients of private companies.In this study,to forecast beta coefficients for private firms,three models or approaches are suggested and with details analysed.These models or approaches are accounting betas,fundamental betas and comparable publicly traded firms betas.

Özet

Portföy çesitlendirilmesine duyarsız olan sistematik risk,tüm finansal piyasaları ve bu piyasalarda islem gören finansal varlıkların tümünü etkiler.Sistematik risk ölçütü beta katsayısı,menkul kıymetlerin getirilerinin, piyasa getirisindeki degismelere olan duyarlılıgını göstermektedir.Beta katsayısı,regresyon modeli kullanılarak tahmin edilmektedir.Halka açık olan sirketlerin tarihi piyasa verilerini bildigimizden,bu sirketlerin beta katsayılarının tahmininde bir zorlukla karsılasılmaz.Diger yandan halka açık olmayan sirketlerin tarihi fiyat verileri mevcut degildir.Bu yüzden halka açık olmayan sirketlerin beta katsayılarının tahmininde zorluklar yasanmaktadır.Bu çalısmada halka açık olmayan sirketlerin beta katsayılarının tahmin edilmesinde üç model veya yaklasım önerilmekte ve ayrıntılı olarak analiz edilmektedir.Bu model veya yaklasımlar,muhasebe betaları,temel verilerden hareketle beta katsayısının tahmin edilmesi(temel betalar) ve karsılastırılabilir halka açık sirketlerin betalarından yararlanılmasıdır.

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Cite This Article

KIRLI, M. (2022). Forecasting Systematic Risk Measure Beta Coefficient for Private Companies. Yönetim ve Ekonomi: Celal Bayar Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, Cilt: 13 - Sayı: 1, 121–134. https://ajindex.com/articles/647498

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