Results 21 to 30 of about 16,931 (265)

Comparing Semivariance and Calculated Beta on Basis of it to the Variance and Common Beta [PDF]

open access: yesتحقیقات مالی, 2009
In this article the researcher, comparing Semivariance and calculated Beta on basis of it to the variance and common Beta, has tried to see whether Downside Beta criteria (Semivariance and calculated Beta on basis of it) have any preference over the ...
Reza tehrani, Moslem Peymany
doaj  

An Empirical Investigation of Risk-Return Relations in Chinese Equity Markets: Evidence from Aggregate and Sectoral Data

open access: yesInternational Journal of Financial Studies, 2018
This paper investigates the risk-return relations in Chinese equity markets. Based on a TARCH-M model, evidence shows that stock returns are positively correlated with predictable volatility, supporting the risk-return relation in both aggregate and ...
Thomas C. Chiang, Yuanqing Zhang
doaj   +1 more source

Industry Risk Factors and Stock Returns of Malaysian Oil and Gas Industry: A New Look with Mean Semi-Variance Asset Pricing Framework

open access: yesMathematics, 2020
This study employs a mean semi-variance asset pricing framework to examine the influence of risk factors on stock returns of oil and gas companies. This study also examines how downside risk is priced in stock performance.
Mohammad Enamul Hoque, Soo-Wah Low
doaj   +1 more source

ESG and Downside Risks: Implications for Pension Funds

open access: yesSSRN Electronic Journal, 2021
Abstract Due to their long-term horizons, pension funds face enhanced exposures to the long-lived effects of many environmental, social, and governance (ESG) risks. Moreover, given the potential consequences of being underfunded, pension funds are particularly exposed to ESG-related downside shocks, especially those related to climate ...
Zacharias Sautner, Laura T. Starks
openaire   +2 more sources

Asset Pricing with Downside Liquidity Risks [PDF]

open access: yesManagement Science, 2017
We develop a parsimonious liquidity-adjusted downside capital asset pricing model to investigate whether phenomena such as downward liquidity spirals and flights to liquidity impact expected asset returns. We find strong empirical support for the model.
Sean A. Anthonisz, Talis J. Putnins
openaire   +2 more sources

Market and Accounting Measures of Risk: The Case of the Frankfurt Stock Exchange

open access: yesRisks, 2022
The main purpose of this study was to explore the relationship between market and accounting measures of risk and the profitability of companies listed on the Frankfurt Stock Exchange.
Anna Rutkowska-Ziarko
doaj   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

open access: yesFEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar   +4 more
wiley   +1 more source

Asymmetric return dynamics and stock price crash risk: Evidence from a quantile regression analysis of an emerging market

open access: yesEconomic Journal of Emerging Markets
Purpose — Understanding extreme downside risk is particularly important in emerging equity markets, where higher market volatility, lower liquidity, and weaker information environments make stock prices more vulnerable to sudden, severe crashes.
Unbreen Arif   +3 more
doaj   +1 more source

Discerning protein pools by selective staining with self‐labeling tags

open access: yesFEBS Letters, EarlyView.
Cell surface proteins have an intra‐ and extracellular pool. Combining genetic fusion to self‐labeling tags that can be addressed with small molecule fluorophores allows separating these pools. We highlight recent developments and techniques for state‐of‐the‐art interrogation of cell surface proteins in the complex tissue setting.
Kati Fischermanns, Johannes Broichhagen
wiley   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

open access: yesFEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill   +4 more
wiley   +1 more source

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