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  Subjects -> STATISTICS (Total: 130 journals)
Showing 1 - 151 of 151 Journals sorted alphabetically
Advances in Complex Systems     Hybrid Journal   (Followers: 10)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 52)
Applied Categorical Structures     Hybrid Journal   (Followers: 4)
Argumentation et analyse du discours     Open Access   (Followers: 7)
Asian Journal of Mathematics & Statistics     Open Access   (Followers: 8)
AStA Advances in Statistical Analysis     Hybrid Journal   (Followers: 2)
Australian & New Zealand Journal of Statistics     Hybrid Journal   (Followers: 12)
Biometrical Journal     Hybrid Journal   (Followers: 9)
Biometrics     Hybrid Journal   (Followers: 51)
British Journal of Mathematical and Statistical Psychology     Full-text available via subscription   (Followers: 17)
Building Simulation     Hybrid Journal   (Followers: 2)
CHANCE     Hybrid Journal   (Followers: 5)
Communications in Statistics - Simulation and Computation     Hybrid Journal   (Followers: 9)
Communications in Statistics - Theory and Methods     Hybrid Journal   (Followers: 11)
Computational Statistics     Hybrid Journal   (Followers: 15)
Computational Statistics & Data Analysis     Hybrid Journal   (Followers: 35)
Current Research in Biostatistics     Open Access   (Followers: 8)
Decisions in Economics and Finance     Hybrid Journal   (Followers: 12)
Demographic Research     Open Access   (Followers: 14)
Engineering With Computers     Hybrid Journal   (Followers: 5)
Environmental and Ecological Statistics     Hybrid Journal   (Followers: 7)
ESAIM: Probability and Statistics     Open Access   (Followers: 4)
Extremes     Hybrid Journal   (Followers: 2)
Fuzzy Optimization and Decision Making     Hybrid Journal   (Followers: 8)
Geneva Papers on Risk and Insurance - Issues and Practice     Hybrid Journal   (Followers: 11)
Handbook of Numerical Analysis     Full-text available via subscription   (Followers: 5)
Handbook of Statistics     Full-text available via subscription   (Followers: 7)
IEA World Energy Statistics and Balances -     Full-text available via subscription   (Followers: 2)
International Journal of Computational Economics and Econometrics     Hybrid Journal   (Followers: 6)
International Journal of Quality, Statistics, and Reliability     Open Access   (Followers: 17)
International Journal of Stochastic Analysis     Open Access   (Followers: 2)
International Statistical Review     Hybrid Journal   (Followers: 12)
Journal of Algebraic Combinatorics     Hybrid Journal   (Followers: 3)
Journal of Applied Statistics     Hybrid Journal   (Followers: 20)
Journal of Biopharmaceutical Statistics     Hybrid Journal   (Followers: 23)
Journal of Business & Economic Statistics     Full-text available via subscription   (Followers: 38, SJR: 3.664, CiteScore: 2)
Journal of Combinatorial Optimization     Hybrid Journal   (Followers: 7)
Journal of Computational & Graphical Statistics     Full-text available via subscription   (Followers: 21)
Journal of Econometrics     Hybrid Journal   (Followers: 82)
Journal of Educational and Behavioral Statistics     Hybrid Journal   (Followers: 7)
Journal of Forecasting     Hybrid Journal   (Followers: 19)
Journal of Global Optimization     Hybrid Journal   (Followers: 6)
Journal of Mathematics and Statistics     Open Access   (Followers: 6)
Journal of Nonparametric Statistics     Hybrid Journal   (Followers: 6)
Journal of Probability and Statistics     Open Access   (Followers: 10)
Journal of Risk and Uncertainty     Hybrid Journal   (Followers: 34)
Journal of Statistical and Econometric Methods     Open Access   (Followers: 3)
Journal of Statistical Physics     Hybrid Journal   (Followers: 13)
Journal of Statistical Planning and Inference     Hybrid Journal   (Followers: 7)
Journal of Statistical Software     Open Access   (Followers: 16, SJR: 13.802, CiteScore: 16)
Journal of the American Statistical Association     Full-text available via subscription   (Followers: 72, SJR: 3.746, CiteScore: 2)
Journal of the Korean Statistical Society     Hybrid Journal  
Journal of the Royal Statistical Society Series C (Applied Statistics)     Hybrid Journal   (Followers: 36)
Journal of the Royal Statistical Society, Series A (Statistics in Society)     Hybrid Journal   (Followers: 28)
Journal of the Royal Statistical Society, Series B (Statistical Methodology)     Hybrid Journal   (Followers: 41)
Journal of Theoretical Probability     Hybrid Journal   (Followers: 3)
Journal of Time Series Analysis     Hybrid Journal   (Followers: 16)
Journal of Urbanism: International Research on Placemaking and Urban Sustainability     Hybrid Journal   (Followers: 23)
Law, Probability and Risk     Hybrid Journal   (Followers: 6)
Lifetime Data Analysis     Hybrid Journal   (Followers: 7)
Mathematical Methods of Statistics     Hybrid Journal   (Followers: 4)
Measurement Interdisciplinary Research and Perspectives     Hybrid Journal   (Followers: 1)
Metrika     Hybrid Journal   (Followers: 4)
Monthly Statistics of International Trade - Statistiques mensuelles du commerce international     Full-text available via subscription   (Followers: 3)
Multivariate Behavioral Research     Hybrid Journal   (Followers: 8)
Optimization Letters     Hybrid Journal   (Followers: 2)
Optimization Methods and Software     Hybrid Journal   (Followers: 6)
Oxford Bulletin of Economics and Statistics     Hybrid Journal   (Followers: 33)
Pharmaceutical Statistics     Hybrid Journal   (Followers: 16)
Queueing Systems     Hybrid Journal   (Followers: 7)
Research Synthesis Methods     Hybrid Journal   (Followers: 7)
Review of Economics and Statistics     Hybrid Journal   (Followers: 138)
Review of Socionetwork Strategies     Hybrid Journal  
Risk Management     Hybrid Journal   (Followers: 17)
Sankhya A     Hybrid Journal   (Followers: 3)
Scandinavian Journal of Statistics     Hybrid Journal   (Followers: 9)
Sequential Analysis: Design Methods and Applications     Hybrid Journal  
Significance     Hybrid Journal   (Followers: 7)
Sociological Methods & Research     Hybrid Journal   (Followers: 40)
SourceOECD Measuring Globalisation Statistics - SourceOCDE Mesurer la mondialisation - Base de donnees statistiques     Full-text available via subscription  
Stata Journal     Full-text available via subscription   (Followers: 8)
Statistica Neerlandica     Hybrid Journal   (Followers: 1)
Statistical Inference for Stochastic Processes     Hybrid Journal   (Followers: 3)
Statistical Methods and Applications     Hybrid Journal   (Followers: 6)
Statistical Methods in Medical Research     Hybrid Journal   (Followers: 27)
Statistical Modelling     Hybrid Journal   (Followers: 18)
Statistical Papers     Hybrid Journal   (Followers: 4)
Statistics & Probability Letters     Hybrid Journal   (Followers: 13)
Statistics and Computing     Hybrid Journal   (Followers: 13)
Statistics and Economics     Open Access  
Statistics in Medicine     Hybrid Journal   (Followers: 122)
Statistics: A Journal of Theoretical and Applied Statistics     Hybrid Journal   (Followers: 12)
Stochastic Models     Hybrid Journal   (Followers: 2)
Stochastics An International Journal of Probability and Stochastic Processes: formerly Stochastics and Stochastics Reports     Hybrid Journal   (Followers: 2)
Structural and Multidisciplinary Optimization     Hybrid Journal   (Followers: 10)
Teaching Statistics     Hybrid Journal   (Followers: 8)
Technology Innovations in Statistics Education (TISE)     Open Access   (Followers: 2)
TEST     Hybrid Journal   (Followers: 2)
The American Statistician     Full-text available via subscription   (Followers: 25)
The Canadian Journal of Statistics / La Revue Canadienne de Statistique     Hybrid Journal   (Followers: 10)
Wiley Interdisciplinary Reviews - Computational Statistics     Hybrid Journal   (Followers: 1)

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Similar Journals
Journal Cover
Risk Management
Journal Prestige (SJR): 0.189
Citation Impact (citeScore): 1
Number of Followers: 17  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1460-3799 - ISSN (Online) 1743-4637
Published by Springer-Verlag Homepage  [2469 journals]
  • Revisiting the value of a statistical life: an international approach
           during COVID-19

    • Free pre-print version: Loading...

      Abstract: Abstract Although the employment of the value of a statistical life (VSL) is a cornerstone of USA governmental risk analysis, many argue that the VSL is flawed when evaluating proposed regulations. The VSL is only an estimate of the willingness to accept wage versus risk, which may be inaccurate for policies that mitigate large risks in pandemics, such as COVID-19. The VSL is revisited using a different approach and utilized in measuring the total value of loss from deaths caused by COVID-19 for 48 selected countries. The modified theory of the demand for health by Gary Becker is utilized to measure the VSL resulting from consumer optimization of utility, subject to constraints and investments in health made to change their survivorship at different ages. Estimates show that the VSL for an average American is around $7.2 million compared to the world VSL of about $1.3 million. Switzerland has the highest VSL of approximately $9.4 million. The total value of loss from deaths caused by COVID-19 is around 6.1% of the USA GDP, compared to the global loss of 1.2% of the world's GDP, while Belgium has the highest value of loss with 9.7% of its GDP. The best possible data and procedures are necessary to make robust and reliable public health decisions while responding to the COVID-19 pandemic. The VSL measure introduced here can be applied to a specific individual, group, or population. It is comprehensive, straightforward, generalizable, and provides a consistent measure with the most popular methods. More importantly, it provides an added value to the existing methods that enable us to break down the VSL into two main components, one that accounts for working time. The other accounts for leisure time and different diminishing consumption and discount rates.
      PubDate: 2022-04-19
       
  • Political, economic, and financial country risks and the volatility of the
           South African Exchange Traded Fund market: A GARCH-MIDAS approach

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      Abstract: Abstract Despite the soaring popularity of Exchange Traded Funds (ETFs) in South Africa, country risk may have a minimal or no effect on ETFs because ETF investors can use a wide variety of market timing activities to minimize their exposure to country risks. This study investigated the effect of political, economic, and financial components of country risk on the volatility of the South African ETF market. A GARCH-MIDAS approach was employed to analyse a sample of South African ETFs from November 2000 to December 2019. The ETF market was segregated into a market of ETFs with domestic benchmarks and a market of ETFs with international benchmarks. The findings suggest that country risk components are significant sources of volatility in ETF markets except for financial risk which does not significantly impact ETFs with international benchmarks suggesting that these ETFs can be used to minimize an investor’s exposure to financial risk. Overall, this study provides new insight into the use of ETFs to diversify an investor’s exposure to different country risk components.
      PubDate: 2022-04-07
       
  • Correction to: Prioritizing interdependent drivers of financial, economic,
           and political risks using a data‑driven probabilistic approach

    • Free pre-print version: Loading...

      PubDate: 2022-03-14
       
  • Sparsity and stability for minimum-variance portfolios

    • Free pre-print version: Loading...

      Abstract: Abstract The popularity of modern portfolio theory has decreased among practitioners because of its unfavorable out-of-sample performance. Estimation risk tends to affect the optimal weight calculation noticeably, especially when a large number of assets are considered. To overcome these issues, many methods have been proposed in recent years, but only a few address practically relevant questions related to portfolio allocation. This study therefore uses different covariance estimation techniques, combines them with sparse model approaches, and includes a turnover constraint that induces stability. We use two datasets of the S&P 500 to create a realistic data foundation for our empirical study. We discover that it is possible to maintain the low-risk profile of efficient estimation methods while automatically selecting only a subset of assets and further inducing low portfolio turnover. Moreover, we find that simply using LASSO is insufficient to lower turnover when the model’s tuning parameter can change over time.
      PubDate: 2022-03-11
       
  • Market and model risks: a feasible joint estimate methodology

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      Abstract: Abstract The increasing complexity of stochastic models used to describe the behavior of asset returns along with the practical difficulty of defining suitable hedging strategies are relevant factors that compromise the soundness and quality of risk measurement models. In this paper we define the risk model as the mispricing a consequence of using an inadequate model to describe asset behavior and we develop a least-squares Monte Carlo methodology to estimate market and model risk simultaneously. The results show that at different confidence levels and time horizons the proposed methodology to estimate the market and model risks has a greater joint explanatory power than the isolated estimate of market risk.
      PubDate: 2022-03-01
      DOI: 10.1057/s41283-022-00090-1
       
  • Prioritizing interdependent drivers of financial, economic, and political
           risks using a data-driven probabilistic approach

    • Free pre-print version: Loading...

      Abstract: Abstract Financial, economic, and political risks pose a significant threat to the development and progress of countries as such risks can impact all spheres of life including education, healthcare, logistics, transportation, and safety among others. Although these risks seem quite distinct, they are mutually influenced by multidimensional interdependent factors such as internal and external conflict, socioeconomic conditions, corruption, law and order, and bureaucratic quality among others. In this paper, we utilize a data-driven approach to explore dependencies among factors influencing financial, economic, and political risks and establish their relative importance in a network setting while capturing the entire distribution of individual factors. A probabilistic network-based model was developed using the data by the International Country Risk Guide, which revealed significant differences between the conventional and the proposed schemes for prioritizing drivers of political, economic, and financial risks. Internal conflict and socioeconomic conditions were considered as the most critical factors in terms of reducing and enhancing the network-wide risk exposure, respectively. The two prioritization schemes relative to the vulnerability and resilience impact of individual factors are not correlated and therefore, policy-makers need to focus on both schemes while developing risk mitigation strategies.
      PubDate: 2022-02-01
      DOI: 10.1057/s41283-022-00089-8
       
  • Feed price risk management for sheep production in Spain: a composite
           future cross-hedging strategy

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      Abstract: Abstract Extensive livestock farming is a relevant activity in Spain, and lamb production is particularly important in the Autonomous Community of Extremadura, where feed supplementation is the main cost of production. In addition to facing climate risks which increases feed quantity needs, producers are also exposed to exogenous price volatility because feed components are settled in international markets. However, there are no traded futures contracts to directly hedge feed price, raising the question if a composite hedge can be used. With that aim, this paper tests different cross-hedging strategies with feed components that have contracts traded in international markets such as corn, soybean meal, wheat, and others. Employing a multi-regression model that solves the expected mean–variance utility problem maximization under the assumption of risk aversion, up to 65% of feed price risk can be hedged by constructing a cross hedge. Putting the strategy into practice showed that using the proposed hedge during 2012–2020 reduced price volatility and reported a benefit of € 27,498.61 in a representative farm, equivalent to 7.6% of period’s total feed expenditure.
      PubDate: 2022-01-07
      DOI: 10.1057/s41283-021-00088-1
       
  • IRB PD model accuracy validation in the presence of default correlation: a
           twin confidence interval approach

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      Abstract: Abstract The BIS indicated in July 2020 an unprecedented rise in default risk correlation as a result of pandemics-induced credit risks’ accumulation. A third of the world banking assets credit risk measurement depends on the Basel internal-ratings-based (IRB) models. To ensure financial stability, we wish IRB models to be accurate in default probability (PD) forecasting. There naturally arises a question of which model may be deemed accurate if the data demonstrates the presence of the default correlation. The existing prudential IRB validation guidelines suggest a confidence interval of up to 100 percentage points’ length for such a case. Such an interval is useless as any model and any PD forecast seem accurate. The novelty of this paper is the justification for the use of twin confidence intervals to validate PD model accuracy. Those intervals more concentrate around the two extremes (default and its absence), the higher the default correlation is.
      PubDate: 2021-12-01
      DOI: 10.1057/s41283-021-00079-2
       
  • A refined measure of conditional maximum drawdown

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      Abstract: Abstract Risks associated to maximum drawdown have been recently formalized as the tail mean of the maximum drawdown distribution, called Conditional Expected Drawdown (CED). In fact, the special case of average maximum drawdown is widely used in the fund management industry also in association to performance management. It lacks relevant information on worst case scenarios over a fixed horizon. Formulating a refined version of CED, we are able to add this piece of information to the risk measurement of drawdown, and then get a risk measure for processes that preserves all the good properties of CED but following more prudential regulatory and management assessments, also in term of marginal risk contribution attributed to factors. As a special application, we consider the conditioning information given by the all time minimum of cumulative returns.
      PubDate: 2021-12-01
      DOI: 10.1057/s41283-021-00081-8
       
  • A visual risk identification and early warning research for college net
           loan based on microblog texts

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      Abstract: Abstract By analyzing microblog texts, a visual early warning research of college net loans is conducted in this paper to effectively reduce the negative impact of illegal Internet loans (abbreviated as "net loans") on college students' lives. Two calculation models are proposed in our research: One is the Identification Model of Risk Degree (IMRD) based on the security level of microblog texts about net loans. The other is the Calculation Model of Relationship Closeness (CMRC) based on three dimensions: user's relevant relationship, interaction strength, and interest similarity. IMRD is used to identify the risk of microblog net loan texts, and determine whether to early warn or not. CMRC is utilized to acquire a net loan communication map by describing the closeness level between net loan microblog publishers and their followers, and analyzing the possibility of retweeting. A visual monitoring and early warning platform is constructed based on these two models. With this platform, further spread of net loan information can be prevented by analyzing the graph and cutting off key nodes in time. The early warning mechanism of this research can effectively alleviate the negative influence of illegal net loans.
      PubDate: 2021-12-01
      DOI: 10.1057/s41283-021-00078-3
       
  • Linkages and systemic risk in the European insurance sector. New evidence
           based on Minimum Spanning Trees

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      Abstract: Abstract This paper is part of the research on the interlinkages between insurers and their contribution to systemic risk on the insurance market. Our work constitutes an answer to the recommendations contained in the 2017 report of the European Insurance and Occupational Pensions Authority (EIOPA), an independent EU advisory body to the European Parliament, the Council of Europe and the European Commission, which shows that when analysing systemic risk in the insurance sector, one should take into account, among others, the dynamics of interconnectedness between institutions. The present article is another study of the authors in this subject. Its main purpose is to present the results of the analysis of linkage dynamics and systemic risk in the European insurance sector using hybrid models combining statistical-econometric tools with network modelling and predictive analysis tools. These networks are based on dynamic dependence structures modelled using a copula. Then, we determine the Minimum Spanning Trees. Finally, the linkage dynamics is described by means of the time series of selected topological network indicators.
      PubDate: 2021-11-30
      DOI: 10.1057/s41283-021-00087-2
       
  • Three-factor model of Enterprise Risk Management implementation:
           exploratory study of non-financial companies

    • Free pre-print version: Loading...

      Abstract: Abstract This study has been motivated by the fact that organizations embracing Enterprise Risk Management (ERM) face different design problems with little guidance on the methods of implementing it successfully. To explore whether the implementation of ERM in companies differs from the prevailing COSO ERM framework, we conducted a survey regarding the implementation of the important ERM characteristics that were derived from a thorough literature review and their connections to COSO (Enterprise risk management integrating with strategy and performance. Executive summary, American Institute of Certified Public Accountants, New York, 2017). The results of exploratory factor analysis indicate the existence of three factors relevant for ERM implementation—strategic, operational, and oversight—suggesting a discrepancy between implementing ERM in practice and the COSO Framework. The descriptive statistics indicates that operational and oversight aspects are implemented in a lesser degree than the strategic aspects. This leads to the conclusion that companies need guidance in operational aspects of the ERM implementation, and that it is necessary to enhance ERM oversight and corporate governance mechanisms. This article can contribute to ERM literature by raising a discussion on practical aspects of implementing ERM and on the possible reasons for companies’ preferences to easier solutions. This study may be useful to companies that are in the process of ERM implementation or enhancement.
      PubDate: 2021-11-20
      DOI: 10.1057/s41283-021-00086-3
       
  • Dynamic selection of Gram–Charlier expansions with risk targets: an
           application to cryptocurrencies

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      Abstract: Abstract This paper implements a procedure for dynamically selecting the Gram–Charlier approximation that best fits the empirical distribution of cryptocurrency returns at any point in time. The endogenous selection of the Gram–Charlier expansion length exploits its property for approximating frequency distributions through a flexible number of parameters that allows capturing changes at the tails provoked by new extreme events. The procedure is based on the differences between the cumulative distribution function of Gram–Charlier distributions with a particular focus on the fitting of the distribution left tail for risk assessment purposes. The method is tested through backtesting techniques for a group of major cryptocurrencies. The results show that the selection of the Gram–Charlier expansion order on the basis of cumulative distribution function dynamics, provides, in most cases, a significant improvement for conditional coverage compared to the use of fixed-order Gram–Charlier expansions. The method seems to be a useful tool for risk management purposes, especially for highly volatile assets such as cryptocurrencies.
      PubDate: 2021-10-01
      DOI: 10.1057/s41283-021-00084-5
       
  • The influence of organizational climate, incentives and knowledge sharing
           on misconduct and risk-taking in banking

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      Abstract: Abstract This study aims to establish whether a focused type of organizational climate, misconduct and risk climate (M&R climate), contributes to preventing misconduct risk and excessive risk-taking in banking. It also explores the effects on the relationship between organizational M&R climate and perceived organizational performance of incentives associated with compensation, promotion and knowledge-sharing practices, transmitted via employee training and cross-functional collaboration. The study develops and validates measurement scales for these factors, using structural equation modeling to investigate the relationships among them on the basis of data collected from a sample of 110 bank employees in Spain. The results support the previous literature regarding the influence of organizational climate and reveal how, along with incentives and knowledge-sharing practices, it influences employees’ perceptions of organizational performance in addressing misconduct and risk-taking.
      PubDate: 2021-09-20
      DOI: 10.1057/s41283-021-00083-6
       
  • Irrational risk-taking of professionals' The relationship between risk
           exposures and previous profits

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      Abstract: Abstract The risk attitude of investors is a key factor determining financial asset prices and market trends. Changes in risk attitude may be due to the interference of macro-level (business cycle) and micro-level (individual experience) effects. We investigate the impact of individual experience on the subsequent risk-taking attitude of professionals via the analysis of the trading activity of 351 non-financial firms and (non-bank) financial institutions (insurance companies, financial intermediaries, etc.) covering 57,039 FX forward transactions in a highly volatile period between January 2008 and November 2012. Panel regressions for all firms and institutions do not show significant behavioral patterns. When investigating each client separately, however, we find that 39.7% of the clients having enough transactions to analyze statistically tend to increase their risk exposure irrationally after large gains or losses which can be the manifestation of the break-even and house-money effects well-documented in the literature for non-professionals. This irrational behavior may destroy value, so both market players and regulators should pay attention to monitor and control it.
      PubDate: 2021-09-01
      DOI: 10.1057/s41283-021-00076-5
       
  • Covid-19 and high-yield emerging market bonds: insights for liquidity risk
           management

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      Abstract: Abstract Around the apogee of the pandemic crisis in late March 2020, trading liquidity has evaporated out of high-yield (HY) bond markets across developing states. Concerned about this phenomenon, we assess emerging market (EM) debt liquidity as a combination of three metrics: (i) bid–ask spreads; (ii) relative liquidity score incorporating market depth, trading volumes, and time needed to liquidate an asset; and (iii) round-trip transaction costs—evidencing that all have worsened by the end of the first quarter of 2020. We complement our analysis by tracking the dynamics of the option-adjusted spreads of the EM HY bonds and document that the recovery trends of the credit and liquidity components in bonds spreads have decoupled in the aftermath of the Covid-triggered global meltdown. We evidence relevant differences in bond liquidity between chosen countries, representative of geopolitical regions. All the considered liquidity measures provide a coherent picture of the pandemic impact and allow for insights regarding the recovery from the crisis turmoil and the risk management of the EM HY bond portfolios throughout a systemic crisis.
      PubDate: 2021-09-01
      DOI: 10.1057/s41283-021-00074-7
       
  • Alpha enhancement in global equity markets with ESG overlay on
           factor-based investment strategies

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      Abstract: Abstract Studies show that companies with a strong Environment, Social and Governance (ESG) profile are more competitive than their peers, as they use resources, human capital and innovation more efficiently. High ESG-rated companies have lower exposure to systematic risk factors and low expected cost of capital, leading to higher valuations in a DCF model framework. They are typically more transparent, particularly with respect to their risk exposures, risk management and governance standards and have better long-term vision. The paper finds that higher Alpha can be harvested by restricting investment exposure to the ESG theme combined with various style characteristics, as they display low systematic and idiosyncratic tail risks. It shows that an ESG overlay on such factor-based strategies, particularly on ‘multi-factor’, ‘value’ and ‘low volatility’ in that order, reduces both systematic and idiosyncratic risks further. ESG overlay on ‘quality’ factor provides the highest return among ESG target indices, however, the underlying ‘quality’ factor provides even higher excess return. These findings can provide some insight on return enhancement to investors investing in the global equity markets.
      PubDate: 2021-09-01
      DOI: 10.1057/s41283-021-00075-6
       
  • Correction to: Achieving financial stability during a liquidity crisis: a
           multi‑objective approach

    • Free pre-print version: Loading...

      PubDate: 2021-08-27
      DOI: 10.1057/s41283-021-00082-7
       
  • Business strategy, market power, and stock price crash risk: Evidence from
           China

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      Abstract: Abstract Business strategies play a vital role in a firm’s success but, if not properly executed, can lead to financial irregularities and mispricing, influencing the firm’s performance and leading to stock price crash risk. The present study examines the impact of firm’s business strategy and market power on stock price crash risk. Following Miles and Snow’s (2003) model, we classified Chinese firms listed on the Shenzhen and Shanghai stock exchanges into defenders (conservative) and prospectors’ (aggressive) business strategies over a period of 2006–2019. We employed industry and year fixed effects regression to show that prospectors who follow aggressive strategies are more prone to stock price crash risk than defenders who follow conservative strategies. Additionally, we show that firms with high market power also contribute to increased stock price crash risk. Our results are also robust to alternative control variables and different statistical models like the two-stage least squares method.
      PubDate: 2021-08-09
      DOI: 10.1057/s41283-021-00080-9
       
  • Is the ESG portfolio less turbulent than a market benchmark portfolio'

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      Abstract: Abstract Given that there is no consensus on the fact that ESG portfolios are characterized by very high returns and very low risks compared to conventional portfolios, this study aims to empirically verify whether the series of returns of an ESG portfolio is less volatile than the returns of a benchmark market portfolio. To verify this hypothesis, we used the Markov-switching GARCH models in order to model the process of the series of daily returns of the ESG portfolio “MSCI USA ESG Select,” as well as those of the market benchmark portfolio daily returns series “S&P 500,” during the period June 01, 2005 to December 31, 2020 as well as that excluding the COVID19 crisis and from June 1, 2005 to October 29, 2019. It can be concluded that the ESG portfolio “MSCI USA ESG Select” is relatively less turbulentcompared to the market benchmark portfolio “S&P 500.”
      PubDate: 2021-06-25
      DOI: 10.1057/s41283-021-00077-4
       
 
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