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1 – 10 of over 31000Seyed Mahdi Alhosseini Almodarresi and Fereshte Rasty
This paper aims to examine the moderating role of positive and negative strategies of emotion regulation on the relationship between risk aversion and brand sensitivity.
Abstract
Purpose
This paper aims to examine the moderating role of positive and negative strategies of emotion regulation on the relationship between risk aversion and brand sensitivity.
Design/methodology/approach
By conducting a survey, this study has collected a total of 405 responses and the data have been examined with structural equation modeling.
Findings
The study has demonstrated that some strategies of emotion regulation have a significant moderating effect, and they can down-regulate the effect of risk aversion on brand sensitivity. These strategies are positive refocusing, refocus on planning, positive reappraisal, putting into perspective, acceptance and rumination.
Research limitations/implications
Future studies should consider a broader range of respondents to validate the results. Moreover, the role of emotion regulation in the relationships among repurchase intention, customer loyalty and customer compliant could be examined. Further research could also focus on the relationship between risk aversion and brand sensitivity with regard to different types of buying situations and consumers’ types.
Practical implications
The findings demonstrate a substantial implication regarding emotion regulation and brand management. Positive strategies of emotion regulation make risk-averse people less likely to pay attention to brands and lead them to be less brand-sensitive. New companies and businesses could use these findings to make consumers regulate their emotions positively.
Originality/value
This research provides novel findings about the influence of consumers’ emotion regulation on brand sensitivity. People who use positive strategies of emotion regulation tend to dampen the effect of their risk aversion on brand sensitivity and will become less sensitive to the brand.
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Fateh Saci, Sajjad M. Jasimuddin and Justin Zuopeng Zhang
This paper aims to examine the relationship between environmental, social and governance (ESG) performance and systemic risk sensitivity of Chinese listed companies. From the…
Abstract
Purpose
This paper aims to examine the relationship between environmental, social and governance (ESG) performance and systemic risk sensitivity of Chinese listed companies. From the consumer loyalty and investor structure perspectives, the relationship between ESG performance and systemic risk sensitivity is analyzed.
Design/methodology/approach
Since Morgan Stanley Capital International (MSCI) ESG officially began to analyze and track China A-shares from 2018, 275 listed companies in the SynTao Green ESG testing list for 2015–2021 are selected as the initial model. To measure the systematic risk sensitivity, this study uses the beta coefficient, from capital asset pricing model (CPAM), employing statistics and data (STATA) software.
Findings
The study reveals that high ESG rating companies have high corresponding consumer loyalty and healthy trading structure of institutional investors, thereby the systemic risk sensitivity is lower. This paper reveals that companies with high ESG rating are significantly less sensitive to systemic risk than those with low ESG rating. At the same time, ESG has a weaker impact on the systemic risk of high-cap companies than low-cap companies.
Practical implications
The study helps the companies understand the influence of market value on the relationship between ESG performance and systemic risk sensitivity. Moreover, this paper explains explicitly why ESG performance insulates a firm’s stock from market downturns with the lens of consumer loyalty theory and investor structure theory.
Originality/value
The paper provides new insights on the company’s ESG performance that significantly affects the company’s systemic risk sensitivity.
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The purpose of this paper is to report on the initial validation of a new method, called the “Meaning of the Child Interview” (MotC), to assess the psychological meaning all…
Abstract
Purpose
The purpose of this paper is to report on the initial validation of a new method, called the “Meaning of the Child Interview” (MotC), to assess the psychological meaning all children have for their parents, but which in cases of risk, submerge or distort the child’s identity. The MotC analyses parental discourse using a method developed from the discourse analysis used to classify the Adult Attachment Interview together with patterns derived from the infant CARE-Index, a procedure that evaluates face-to-face parent-child interaction. This allows the MotC to illuminate how the parent’s thinking influences the developing relationship between parent and child.
Design/methodology/approach
Parents are interviewed using the Parent Development Interview (PDI), or an equivalent, and then the interview transcript is classified using the MotC system. The coding method was developed from interviews drawn from the first author’s work with children and families in the family court system, and then tested with a sample of 85 mothers and fathers, 62 of whom were parents drawn from an “at risk” context. The parents were also videoed in a short free play interaction, using the CARE-Index.
Findings
The study found a strong correspondence between the levels of risk as assessed by the MotC patterns of parental representation of care giving, the risk to the parent-child relationship observed using the CARE-Index. There was also corroboration of the patterns of interaction identified by the MotC.
Originality/value
The results of the study provide good evidence for the Meaning of the Child as an identifiable construct, and as an assessment tool to identify and assess the nature of “at risk” parent-child relationships. MotC was developed in a clinical setting within the Family Court justice system, and is designed to offer assistance to child protection and mental health practitioners deciding how to intervene in particular parent-child relationships.
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Mohd Nishat Faisal, D.K. Banwet and Ravi Shankar
With the emergence of the concepts of lean, agile and leagile paradigms for supply chains, organizations have little idea as to which model suits them based on the their supply…
Abstract
Purpose
With the emergence of the concepts of lean, agile and leagile paradigms for supply chains, organizations have little idea as to which model suits them based on the their supply chain's ability to counter risks and take on the challenges of the fast changing customer preferences. This paper aims to map supply chains on these two dimensions.
Design/methodology/approach
A model is proposed by which suitable supply chain strategy can be selected based on customer sensitivity and risk alleviation competency dimension. Graph theoretic approach is applied to quantify these dimensions for three case supply chains.
Findings
The proposed model was tested for three Indian SMEs clusters and suitable supply chain strategy was suggested.
Research limitations/implications
It is recommended that the model be tested for those supply chains which have established themselves as lean, agile or leagile entities.
Practical implications
Suggested model would help organizations to select suitable supply chain strategy based on customer sensitivity and risk alleviation competency and the transition required in tune with the market requirements in which they operate. Also the areas which need improvements from the perspective of risk alleviation competency or customer sensitivity can be easily delineated.
Originality/value
Mapping supply chains based on quantification of customer sensitivity and risk alleviation competency dimension is a novel effort in the area of supply chain management.
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This study aims to examine whether chief executive officer (CEO) pay-performance sensitivity to shareholder wealth is related to the use of non-financial performance measures in…
Abstract
Purpose
This study aims to examine whether chief executive officer (CEO) pay-performance sensitivity to shareholder wealth is related to the use of non-financial performance measures in incentive contracts.
Design/methodology/approach
Using hand-collected performance measure data in a sample of S&P 500 firms across the period 1994–2010, this study investigates the sensitivity of CEO bonus and cash pay to shareholder wealth of firms that use non-financial performance (NFPM) measures of varying types and contractual weights in their bonus contracts along with financial measures (NFPM firms) in comparison to that of firms using financial measures only (FPM firms).
Findings
This study finds evidence that the pay-performance sensitivity is stronger in NFPM firms than in FPM firms. These results are driven by the use of CEO individual goals and operational efficiency. Furthermore, when using environmental, social and governance factors, the pay-performance sensitivity is stronger in terms of accounting performance only. This study also finds that using NFPM enhances pay-performance sensitivity more as their contractual weights increase and as financial risk increases.
Practical implications
These findings are important to stakeholders, and especially regulators in understanding incentive effects of alternative performance measures. This study also sheds light on what types of non-financial measures are better in helping firms align CEOs’ incentives to shareholders’ interests.
Originality/value
This study contributes to prior research on benefits of non-financial information within the context of executive compensation. This study presents original results about the effects of contractual weights of non-financial measures and financial risk on CEO pay-performance sensitivity. This study also presents new insights regarding how different types of non-financial measures affect CEO pay-performance sensitivity.
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– The purpose of this paper is to aid understanding of the changes in Basel Committee on Banking Supervision (BCBS) regulatory strategies after the global financial crisis.
Abstract
Purpose
The purpose of this paper is to aid understanding of the changes in Basel Committee on Banking Supervision (BCBS) regulatory strategies after the global financial crisis.
Design/methodology/approach
The author uses the credit valuation adjustment (CVA) charge reform as a test case for inquiring whether BCBS has departed from its pre-crisis facilitative regulatory strategy path. The regulatory strategy of the CVA charge is discussed.
Findings
The charge exhibits a new regulatory strategy that BCBS has adopted. It seeks to manipulate market structures by imposing risk-insensitive capital charge methodologies.
Originality/value
The paper offers a new heuristic to analyse regulatory initiatives and their significance. The CVA charge has not been subject to a regulatory theory-based analysis in prior literature.
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The purpose of this paper is to present a conceptual risk assessment technique to aid facility managers with developing robust asset management programs. It proposes to evaluate…
Abstract
Purpose
The purpose of this paper is to present a conceptual risk assessment technique to aid facility managers with developing robust asset management programs. It proposes to evaluate three discrete risk sensitivity levels relative to the recognition of stochastic costs on expected budgetary outcomes. The paper expands the domain of available risk assessment techniques toward estimating impacts from uncertainty on desired levels of service.
Design/methodology/approach
The paper explores the concept that facility managers can cost‐effectively manage robust asset management programs. This is accomplished by evaluating simple relationships between risk‐sensitive decision‐response alternatives and systems degradation characteristics. The resulting parameters are aggregated to estimate expected budgetary outcomes for robust asset management programs.
Findings
The paper reveals that if facility managers assume risk‐avoidance positions, they can positively affect expected budgetary outcomes for robust asset management programs. Facility managers can manage the magnitude of these adverse impacts by mitigating stochastic costs associated with the completion of unscheduled asset management activities.
Research limitations/implications
The expected implications are enhancements to the abilities of facility managers to cost‐effectively manage stochastic costs relative to risk sensitivity and desired levels of service. However, because of the chosen research approach, the research results may lack general usability. Therefore, researchers are encouraged to test the proposed propositions further.
Practical implications
The practical implications allow facility managers to cost‐effectively manage adverse impacts on expected budgetary outcomes for robust asset management programs.
Social implications
The expected contribution is a tool for facility managers to manage uncertainty when allocating limited financial resources among the competing corrective, maintenance, and rehabilitation activities within robust asset management programs.
Originality/value
The paper fulfills an identified need to study how facility managers can do more with less. This need to be cost‐effective requires facility managers to recognize stochastic costs on the expected budgetary outcomes for robust asset management programs.
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The purpose of this paper is to examine whether there is a systematic real estate risk factor in retail firms' common stock returns and whether this risk is priced in the stock…
Abstract
Purpose
The purpose of this paper is to examine whether there is a systematic real estate risk factor in retail firms' common stock returns and whether this risk is priced in the stock market. In addition, whether the real estate risk sensitivities of retail stocks are linked to each firm's real estate intensity is investigated.
Design/methodology/approach
With a sample of 556 retail firms from 15 countries and a three‐index model with a domestic stock market and a retail market factor, as well as a real estate risk factor as the three explanatory variables, the paper appeals to the maximum likelihood methodology of Gibbons which estimates factor sensitivity coefficients and factor risk premia simultaneously using an iterative seemingly unrelated regression (ITSUR) technique, as well as the generalized method of moments (GMM) procedure. In addition, the paper investigates whether the individual retail firms' real estate βs are affected by the firms' CRER levels and other financial characteristics, using instrumental variables estimation technique via three‐stage least squares (3SLS).
Findings
The paper finds property market risks carry positive risk premia after controlling for sensitivities to general market and retail market risks, implying that real estate is an important factor priced in the stock market value of the sample retail firms. However, higher real estate concentration does not necessarily cause higher real estate exposure after controlling for firm size, leverage and growth, implying that stock market investors are unwilling or unable to understand and capture the full risk real estate ownership risk in corporate valuation.
Research limitations/implications
From the corporate management viewpoint, those retail firms with a significant real estate portfolio should always consider the “real estate exposure” factor in their overall corporate strategy. Their high real estate exposure renders them vulnerable to shocks in the real estate market.
Originality/value
The paper offers insights into whether real estate is an important factor in corporate valuation
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Carlos Alexander Grajales and Santiago Medina Hurtado
This paper measures different market risk impacts on options portfolios under the new Fundamental Review of the Trading Book (FRTB) regulation, issued in Basel and coming into…
Abstract
Purpose
This paper measures different market risk impacts on options portfolios under the new Fundamental Review of the Trading Book (FRTB) regulation, issued in Basel and coming into effect in 2023.
Design/methodology/approach
This paper first suggests an algorithm for implementing the FRTB standardised approach via the sensitivities-based method to estimate a portfolio's risk capital and presents an illustration applied to an option position. Second, it proposes a methodology to estimate the expected shortfall in options portfolios from the FRTB internal models approach. In this regard, an application is developed to measure expected shortfall (ES) and value at risk (VaR) impacts under FRTB versus conventional VaR in a currency option position by considering stress scenarios from the 2007–9 and 2020–1 crises and back-testing procedures.
Findings
The suggested algorithm satisfactorily captures impacts via the sensitivities-based method, and higher risk capital demands are expected for emerging economies. Also, the planned FRTB methodology to measure ES and VaR is appropriate; in particular, historical metrics perform well. Astonishingly, their revealed impacts are more significant under the 2020–1 pandemic crisis than the 2007–9 financial crisis.
Originality/value
The proposals developed weave a communication bridge between the standardised and internal approaches of FRTB regulation, which can be scaled up technologically and institutionally.
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Glenn Pederson and Nicholas Sakaimbo
The purpose of this paper is to investigate the relationship between loan default and loss given default (LGD) in an agricultural loan portfolio. The analysis employs a simulation…
Abstract
Purpose
The purpose of this paper is to investigate the relationship between loan default and loss given default (LGD) in an agricultural loan portfolio. The analysis employs a simulation model approach to evaluate the role that systematic and non‐systematic risks play in determining the economic capital requirements under different agricultural economic conditions.
Design/methodology/approach
The authors employ the theoretical approach suggested by Miu and Ozdemir to assess the role of LGD in the banking industry. A Monte Carlo simulation model is developed using Excel and calibrated to an agricultural credit association using historical data. The simulation model is used to evaluate the mark‐up to economic capital that is implied by increasing credit risks due to cyclical changes in farm real estate values.
Findings
The paper demonstrates that historical systematic risks due to the correlation between probability of default (PD) and LGD through the business cycle can result in a significant mark‐up in the economic capital required by an agricultural lender. Using historical land price changes as the driver of systematic risk, the authors show that the correlations between changing PD and land values and between the PD and LGD provide evidence of how sensitive credit risk exposure is to these parameters.
Originality/value
This paper is the first application of the Miu and Ozdemir model of systematic risk to an agricultural lending institution. The model approach can be adapted by farm lenders to evaluate their changing economic capital requirements through an economic cycle in agriculture.
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