Risk-based capital regulation revisited: evidence from the early 2000s

2015 ◽  
Vol 23 (2) ◽  
pp. 115-134 ◽  
Author(s):  
Thomas L. Hogan ◽  
Neil R. Meredith ◽  
Xuhao (Harry) Pan
Keyword(s):  
Design Methodology ◽  
Banking Regulation ◽  
Bank Performance ◽  
Capital Regulation ◽  
Data Set ◽  
Content Type ◽  
Future Performance ◽  
Capital Ratios ◽  
Using Data ◽  
Capital Regulations

Purpose – The purpose of this study is to replicate Avery and Berger’s (1991) analysis using data from 2001 through 2011. Although risk-based capital (RBC) regulation is a key component of US banking regulation, empirical evidence of the effectiveness of these regulations has been mixed. Among the first studies of RBC regulation, Avery and Berger (1991) provide evidence from data on US banks that new RBC regulations outperformed old capital regulations from 1982 through 1989. Design/methodology/approach – Using data from the Federal Reserve’s Call Reports, the authors compare banks’ capital ratios and RBC ratios to five measures of bank performance: income, standard deviation of income, non-performing loans, loan charge-offs and probability of failure. Findings – Consistent with Avery and Berger (1991), the authors find banks’ risk-weighted assets to be significant predictors of their future performance and that RBC ratios outperform regular capital ratios as predictors of risk. Originality/value – The study improves on Avery and Berger (1991) by using an updated data set from 2001 through 2011. The authors also discuss some potential limitations of this method of analysis.

Energy-related CO2 emission forecast for Turkey and Europe and Eurasia

2017 ◽  
Vol 7 (3) ◽  
pp. 436-452 ◽  
Author(s):  
Berk Ayvaz ◽  
Ali Osman Kusakci ◽  
Gül T. Temur
Keyword(s):  
Global Warming ◽  
Design Methodology ◽  
Political Leaders ◽  
Emission Data ◽  
Data Set ◽  
Content Type ◽  
Root Cause ◽  
Second Stage ◽  
Grey Models ◽  
Using Data

Purpose The global warming, caused by the anthropogenic greenhouse gases, has been one of the major worldwide issues over the last decades. Among them, carbon dioxide (CO2) is the most important one and is responsible for more than the two-third of the greenhouse effect. Currently, greenhouse gas emissions and CO2 emissions – the root cause of the global warming – in particular are being examined closely in the fields of science and they also have been put on the agenda of the political leaders. The purpose of this paper is to predict the energy-related CO2 emissions through using different discrete grey models (DGMs) in Turkey and total Europe and Eurasia region. Design/methodology/approach The proposed DGMs will be applied to predict CO2 emissions in Turkey and total Europe and Eurasia region from 2015 to 2030 using data set between 1965 and 2014. In the first stage of the study, DGMs without rolling mechanism (RM) will be used. In the second stage, DGMs with RM are constructed where the length of the rolling horizons of the respected models is optimised. Findings In the first stage, estimated values show that non-homogeneous DGM is the best method to predict Turkey’s energy-related CO2 emissions whereas DGM is the best method to predict the energy-related CO2 emissions for total Europe and Eurasia region. According to the results in the second stage, NDGM with RM (k=26) is the best method for Turkey while optimised DGM with RM (k=4) delivers most reliable estimates for total Europe and Eurasia region. Originality/value This study illustrates the effect of different DGM approaches on the estimation performance for the Turkish energy-related CO2 emission data.

Co-query volume as a proxy for brand relatedness

2018 ◽  
Vol 118 (4) ◽  
pp. 930-944 ◽  
Author(s):  
Sulah Cho
Keyword(s):  
Market Structure ◽  
Automobile Industry ◽  
Design Methodology ◽  
Global Market ◽  
Market Potential ◽  
Online Data ◽  
Content Type ◽  
Future Performance ◽  
Broad Concept ◽  
Using Data

PurposeThe purpose of this paper is to utilize co-query volumes of brands as relatedness measurement to understand the market structure and demonstrate the usefulness of brand relatedness via a real-world case.Design/methodology/approachUsing brand relatedness measurement obtained using data from Google Trends as data inputs into a multidimensional scaling method, the market structure of the automobile industry is presented to reveal its competitive landscape. The relatedness with brands involved in product-harm crisis is further incorporated in empirical models to estimate the influence of crisis on future sales performance of each brand. A representative incident of a product-harm crisis in the automobile industry, which is the 2009 Toyota recall, is investigated. A panel regression analysis is conducted using US and world sales data.FindingsThe use of co-query as brand relatedness measurement is validated. Results indicate that brand relatedness with a brand under crisis is positively associated with future sales for both US and global market. Potential presence of negative spillovers from an affected brand to innocent brands sharing common traits such as same country of origin is shown.Originality/valueThe brand relatedness measured from co-query volumes is considered as a broad concept, which encompasses all associative relationships between two brands perceived by the consumers. This study contributes to the literature by clarifying the concept of brand relatedness and proposing a measure with readily accessible data. Compared to previous studies relying on a vast amount of online data, the proposed measure is proven to be efficient and enhance predictions about the future performance of brands in a turbulent market.

Basel III: where should we go from here?

2019 ◽  
Vol 11 (4) ◽  
pp. 457-469 ◽  
Author(s):  
Quang Thi Thieu Nguyen
Keyword(s):  
Design Methodology ◽  
Banking System ◽  
Capital Regulation ◽  
Risk Sensitivity ◽  
Effective Mechanism ◽  
Content Type ◽  
Market Participants ◽  
Basel Committee ◽  
Capital Ratios ◽  
Practical Implications

Purpose This paper aims to propose the directions for potential reforms for the capital regulation. The focus is on the simplicity and comparability of the regulation, in addition to its risk sensitivity. Design/methodology/approach The author reviews the development of the Basel standards and identify the existing issues. On this basis, the recommendations are suggested. Findings The paper found that the capital regulation has become so complexed that it undermines its own efficiency in promoting the safety and soundness of the banking system. In addition, the current framework prevents a comparison of capital ratios across countries and over time. This discourages the market participants to supervise the bank’s operations. Therefore, there are still a need for the capital regulation reform. Practical implications By making the regulation simpler while ensuring the credit sensitivity, the market participants can play the most of their role and support the regulators in supervising banks. Originality/value The directions for the revised framework would be useful for the Basel Committee and central bank governors in designing an effective mechanism to supervise and discipline banks.

Does strategic purity matter?

2018 ◽  
Vol 34 (1) ◽  
pp. 22-24
Keyword(s):  
Case Studies ◽  
Firm Size ◽  
Design Methodology ◽  
Reading Time ◽  
Cutting Edge ◽  
Content Type ◽  
Future Performance ◽  
Pertinent Information ◽  
Using Data ◽  
Practical Implications

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings By using data from 307 firms across 12 industries in Pakistan, this briefing finds that hybrid and reactor strategies are the most prevalent. Firm size, however, seems the best method of predicting potential and future performance. Originality/value The briefing saves busy executives, strategists, and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

The regulation of multilateral development banks: is it needed? A preliminary analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Laura Gianfagna ◽  
Irene Crimaldi ◽  
Davide Gallan
Keyword(s):  
Preliminary Analysis ◽  
Design Methodology ◽  
Global Financial Crisis ◽  
Balance Sheet ◽  
Banking Regulation ◽  
Multilateral Development Banks ◽  
Content Type ◽  
Development Banks ◽  
Capital Regulations ◽  
Preliminary Consideration

Purpose A difference is noted by comparing the net loans to the non-financial sector in the two sets of institutions. The post-global financial crisis (GFC), literature agrees on a reduced lending pace by financial institutions (FIs) as a result of stricter capital regulations. At the same time, an increasing volume of outstanding loans, directed even to advanced countries, characterize the balance sheet of several multilateral development banks (MDBs). Design/methodology/approach This paper observes how a different degree of banking regulation might have shaped the economic response to the GFC by FIs and MDBs. Findings The authors indicate that MDBs’ financing, with a coherent objective of countercyclical support to the economies hit by the GFC, seems to have filled a market gap caused by the FIs’ pro-cyclical lending reduction. Originality/value While a controversial issue is whether Basel standards should be imposed on MDBs, a harmonization amongst MDBs of their transparency and reporting standards might be beneficial: some preliminary consideration has been portrayed.

scholarly journals A surrogate-based generic classifier for Chinese TV series reviews

2017 ◽  
Vol 45 (2) ◽  
pp. 66-74
Author(s):  
Yufeng Ma ◽  
Long Xia ◽  
Wenqi Shen ◽  
Mi Zhou ◽  
Weiguo Fan
Keyword(s):  
Design Methodology ◽  
Experimental Result ◽  
Digital Information ◽  
Data Set ◽  
Content Type ◽  
Category Labels ◽  
Information Supply Chain ◽  
Feature Selection Techniques ◽  
Practical Implications

Purpose The purpose of this paper is automatic classification of TV series reviews based on generic categories. Design/methodology/approach What the authors mainly applied is using surrogate instead of specific roles or actors’ name in reviews to make reviews more generic. Besides, feature selection techniques and different kinds of classifiers are incorporated. Findings With roles’ and actors’ names replaced by generic tags, the experimental result showed that it can generalize well to agnostic TV series as compared with reviews keeping the original names. Research limitations/implications The model presented in this paper must be built on top of an already existed knowledge base like Baidu Encyclopedia. Such database takes lots of work. Practical implications Like in digital information supply chain, if reviews are part of the information to be transported or exchanged, then the model presented in this paper can help automatically identify individual review according to different requirements and help the information sharing. Originality/value One originality is that the authors proposed the surrogate-based approach to make reviews more generic. Besides, they also built a review data set of hot Chinese TV series, which includes eight generic category labels for each review.

Policing in the COVID-19 pandemic: are rural police organizations immune?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Thomas J. Mrozla
Keyword(s):  
Design Methodology ◽  
The United States ◽  
Content Type ◽  
Public Health Emergencies ◽  
Police Organizations ◽  
Police Agencies ◽  
Health Tracking ◽  
Rural Police ◽  
Using Data ◽  
Practical Implications

PurposeThis study examined how rural police agencies have responded to the COVID-19 pandemic.Design/methodology/approachUsing data from various sources, this study first analyzed what factors influenced agency preparedness to respond to pandemics. Second, it examined how the pandemic influenced specific organizational practices.FindingsFindings revealed that as coronavirus infections increased in counties, supervisors were more likely be tasked with inspecting personal protective equipment (PPE), agencies were more likely to offer pandemic related training, health tracking of officers was more likely to occur and agencies were more likely to encounter a shortage of officers. In addition, as rurality increased, agencies were more likely to offer training but less likely to experience officers contracting COVID-19 and an officer shortage. Lastly, as the rurality of the county in which the agency resides increased, the ability to supply PPE decreased.Practical implicationsBased on these findings, it is imperative that rural police agencies give attention to risk management and the formulation of policy to prepare for public health emergencies.Originality/valueWhile knowledge about how large police agencies in the United States have responded during the coronavirus pandemic is building, little is known about rural policing during pandemics.

Twitter users exhibited coping behaviours during the COVID-19 lockdown: an analysis of tweets using mixed methods

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ruchi Mittal ◽  
Wasim Ahmed ◽  
Amit Mittal ◽  
Ishan Aggarwal
Keyword(s):  
Data Analysis ◽  
The Body ◽  
Data Set ◽  
Content Type ◽  
Twitter Data ◽  
Long Run ◽  
The World ◽  
Twitter Users ◽  
The Government ◽  
Using Data

Purpose Using data from Twitter, the purpose of this paper is to assess the coping behaviour and reactions of social media users in response to the initial days of the COVID-19-related lockdown in different parts of the world. Design/methodology/approach This study follows the quasi-inductive approach which allows the development of pre-categories from other theories before the sampling and coding processes begin, for use in those processes. Data was extracted using relevant keywords from Twitter, and a sample was drawn from the Twitter data set to ensure the data is more manageable from a qualitative research standpoint and that meaningful interpretations can be drawn from the data analysis results. The data analysis is discussed in two parts: extraction and classification of data from Twitter using automated sentiment analysis; and qualitative data analysis of a smaller Twitter data sample. Findings This study found that during the lockdown the majority of users on Twitter shared positive opinions towards the lockdown. The results also found that people are keeping themselves engaged and entertained. Governments around the world have also gained support from Twitter users. This is despite the hardships being faced by citizens. The authors also found a number of users expressing negative sentiments. The results also found that several users on Twitter were fence-sitters and their opinions and emotions could swing either way depending on how the pandemic progresses and what action is taken by governments around the world. Research limitations/implications The authors add to the body of literature that has examined Twitter discussions around H1N1 using in-depth qualitative methods and conspiracy theories around COVID-19. In the long run, the government can help citizens develop routines that help the community adapt to a new dangerous environment – this has very effectively been shown in the context of wildfires in the context of disaster management. In the context of this research, the dominance of the positive themes within tweets is promising for policymakers and governments around the world. However, sentiments may wish to be monitored going forward as large-spikes in negative sentiment may highlight lockdown-fatigue. Social implications The psychology of humans during a pandemic can have a profound impact on how COVID-19 shapes up, and this shall also include how people behave with other people and with the larger environment. Lockdowns are the opposite of what societies strive to achieve, i.e. socializing. Originality/value This study is based on original Twitter data collected during the initial days of the COVID-19-induced lockdown. The topic of “lockdowns” and the “COVID-19” pandemic have not been studied together thus far. This study is highly topical.

Hedonic experiences at heritage attractions: the visitor’s perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ana Carolina Bender ◽  
Manuela Guerreiro ◽  
Bernardete Dias Sequeira ◽  
Júlio Mendes
Keyword(s):  
Design Methodology ◽  
Theory And Practice ◽  
Structured Interviews ◽  
Content Type ◽  
Heritage Sites ◽  
Exploratory Approach ◽  
Hedonic Experience ◽  
Using Data

Purpose The purpose of this study is to explore the hedonic experience and its formation at heritage attractions. Design/methodology/approach A qualitative and exploratory approach was applied, using data from 21 semi-structured interviews and three in-situ focus groups. Findings Findings highlight that senses, imagery and emotions are stimulated by the physical landscape and by triggers of memorable experiences. Research limitations/implications To further explore this topic, a broader range of heritage attractions and perspectives from the diverse stakeholders involved in the management and consumption of these sites is needed. Originality/value Given the scarcity of research dedicated to the hedonic experience at heritage sites, this study provides a contribution by exploring the visitor’s perspective and points out relevant insights. As the hedonic feelings of pleasure, comfort and related affective responses impact the quality of memorable experiences, relevant implications for theory and practice are discussed.

scholarly journals Subnational institutions and open innovation: evidence from China

2017 ◽  
Vol 55 (9) ◽  
pp. 1942-1955 ◽  
Author(s):  
Fei Sun ◽  
Junjie Hong ◽  
Xiuying Ma ◽  
Chengqi Wang
Keyword(s):  
Open Innovation ◽  
Design Methodology ◽  
Emerging Market ◽  
Market Development ◽  
Data Set ◽  
Content Type ◽  
Complementary Effect ◽  
Performance Consequences ◽  
Prior Literature ◽  
External Actors

Purpose The purpose of this paper is to examine how subnational institutions within a country explain the performance consequences of open innovation (OI) in emerging market enterprises (EMEs). Design/methodology/approach The paper conducts a regression analysis by using a novel panel data set comprising of 438 innovative Chinese firms over the period of 2008-2011. Findings The authors show that although on average openness to external actors improves innovation performance this effect is pronounced for EMEs that operate in subnational regions with a higher level of intellectual property rights (IPR) enforcement and of factor market development. The findings point to the context-dependent nature of OI strategy and the complementary effect of institutional parameters in emerging markets and help to reconcile the contrasting findings regarding the effect of OI in the prior literature. Originality/value This paper extends the literature on OI by suggesting that the analysis of the performance consequences of OI strategy should go beyond the nexus between OI and firm performance, and instead, focus on subnational-specific institutions, such as region-specific IPR enforcement, factor market development and intermediation market development, that may facilitate or constrain the effect of OI model.

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