This study addresses the role of R&D leverage in SMEs’performance creation.The authors do so by considering SMEs’high resource dependence due to isomorphism.We propose that R&D leverage,with a presence of dy...This study addresses the role of R&D leverage in SMEs’performance creation.The authors do so by considering SMEs’high resource dependence due to isomorphism.We propose that R&D leverage,with a presence of dynamic capabilities,plays a moderating role in the relation between resource investments and performance.This study,which focused on Taiwan’s SMEs,conducts a questionnaire survey using the hierarchical sampling technique,across various industries and geographic areas in Taiwan.The empirical findings reveal that R&D leverage as an essential leveler in resource management enhances resource advantages.展开更多
Population ageing and high financial leverage are two common problems .faced by the worM's major economies. The recent financial crisis proved that the two issues could lead to systemic risk if not handled properly. ...Population ageing and high financial leverage are two common problems .faced by the worM's major economies. The recent financial crisis proved that the two issues could lead to systemic risk if not handled properly. Based on dynamic panel data from 1980 to 2012 in 119 countries, this paper examines the impact of population ageing on financial leverage J?om an empirical point of view and finds that there is a signOqcant inverted U-shape relationship between the two. In addition, empirical studies show that after passing the "turning point" of ageing, there will be a marked increase in the probability of financial crisis during the "deleveraging" process. It can be projected from the empirical conclusions of this paper that China will likely enter the range of a turning point between 2019 and 2028. After that, population ageing, deleveraging and asset price collapse may have a "resonance" effect to severely impact the stability of the financial system. Therefore, China should shift to more proactive macro financial regulations as quickly as possible, as dynamic and robust management of financial leverage and forward-looking control of bubbles could ensure that the financial system remain flexible enough to avoid systemic risk to the greatest extent.展开更多
The study examines the moderating effects of financial performance on the relationship between financial leverage (FL) and shareholders return (SR). Panel data of pharmaceutical companies listed in the National St...The study examines the moderating effects of financial performance on the relationship between financial leverage (FL) and shareholders return (SR). Panel data of pharmaceutical companies listed in the National Stock Exchange (NSE) were used for 13 years for the period from 2002-03 to 2014-15. Findings indicated that FL is significantly related with SR. However, financial performance has an insignificant relationship with SR and did not moderate the relationship between FL and SR.展开更多
As revealed by some competition of commodities supplied foreign experts, the financial leverage has an impact on the market by different listed companies, and low financial leverage implies a competitive edge but high...As revealed by some competition of commodities supplied foreign experts, the financial leverage has an impact on the market by different listed companies, and low financial leverage implies a competitive edge but high financial leverage is liable to fail in business operation. Viewing from such an angle, the low financial leverage is in fact a conservative financial behavior, which means a reasonable selection. Generally, Chinese listed companies prefer financing from offering equity shares, which is regarded as a reasonable selection weighing both gains and risks. However, based on an analysis of the pressure of market competition to the listed companies of various industries and how they select their own fit/ancial leverage, it is found that there is an extremely unmatched phenomenon in China's capital market, i.e., the keener the commodity market competition is, the higher the financial leverage of listed companies will be. Therefore, the over-financing from offering equity shares is coexisting with under-financing from offering equity shares in China's capital market at present, and both lead listed companies to low efficiency.展开更多
By applying the theory of the relationship between microeconomic leverages and corporate risks, this paper discusses methods that the IPOs should choose to dispose the trademark with their parent companies so as to go...By applying the theory of the relationship between microeconomic leverages and corporate risks, this paper discusses methods that the IPOs should choose to dispose the trademark with their parent companies so as to go public with a high issue price. By analyzing their microeconomic leverage effects, this paper points out that each method has its specific effect on risks and the IPOs should choose the method according to its risk factors, existing assets and financial structure to gain risk income and decrease risk losses.展开更多
Leverage of modem enterprise's financial management includes operating leverage and financial leverage. Both of them exist objectively, are not changeable with human's minds. They enlarge enterprise's benefit and r...Leverage of modem enterprise's financial management includes operating leverage and financial leverage. Both of them exist objectively, are not changeable with human's minds. They enlarge enterprise's benefit and risk, so they have both positive and negative effects. The degrees of them are measured as DOL and DFL. In financial management, the relationship between DOL and operating risk has regularity in quantity, and so does the relationship between DFL and financial risk.展开更多
The study is on a linear model of the relationship between the systematic risk and the micro-economic leverage and analyzed the data from the steel, energy source and chemical fibre industry listed companies in the Ch...The study is on a linear model of the relationship between the systematic risk and the micro-economic leverage and analyzed the data from the steel, energy source and chemical fibre industry listed companies in the Chinese stock market in 2002 and 2001. Using the linear regression method, empirical equations were found. The portfolio effect was shown so that some empirical evidence had been found to support the micro-economic leverage portfolio effect theory, which was that the listed companies balanced the operating and financial leverage to minimize the systematic risk.展开更多
This study aims at providing explanations for how MNCs(multinational companies)proceed with their manipulation of resources and competencies in the entry process to a foreign market.To an increasing extent,such proces...This study aims at providing explanations for how MNCs(multinational companies)proceed with their manipulation of resources and competencies in the entry process to a foreign market.To an increasing extent,such processes perform as a staging process of resource leverage.This study identifies three stages,using the multiple case study incorporating grounded theory:the initial stage,the adaptive intensification stage,and the advantage persistence stage.In the initial stage,an MNC’s entry decision tends to be based on the resource replication mode of resource leverage;the resource exploitation mode of resource leverage is used mainly in the adaptive intensification stage,and the resource exploration mode is used in the advantage persistence stage.This study suggests that these resource leverage modes incorporating their microfoundations can be viewed as a set of potential measurements for examining MNCs'dynamic capabilities in the entry process to a new host market.展开更多
A well-managed company is a company that maximizes the value of its company,which is aimed at achieving maximum profits for shareholders.This research aims to determine and analyze the influence of company size,profit...A well-managed company is a company that maximizes the value of its company,which is aimed at achieving maximum profits for shareholders.This research aims to determine and analyze the influence of company size,profitability,and financial leverage on the value of companies listed on the South Korean Stock Exchange KOSPI 2018-2022.The population consists of 8 South Korean K-Pop entertainment companies registered on KOSPI 2018-2022.The sampling technique used was purposive sampling with a total sample of 8 companies and a 5-year observation period.So that 40 data were processed.The analysis technique is multiple linear regression.The results obtained show that partially company size has no significant effect on company value,profitability has a significant positive effect on company value,and financial leverage has a significant negative effect on company value.Meanwhile,simultaneously company size,profitability,and financial leverage influence company value.展开更多
This study investigates the impacts of contraction flexibility and operating leverage onfinancial leverage from the perspective of the agency conflict between shareholders and debtholders.In a continuous-time real opt...This study investigates the impacts of contraction flexibility and operating leverage onfinancial leverage from the perspective of the agency conflict between shareholders and debtholders.In a continuous-time real option framework,we demonstrate that share-holders'contraction flexibility may have an adverse effect on financial leverage,and that the substitution relation between operating leverage andfinancial leverage is persistent or pronounced in the presence of contraction flexibility.The evidence from Chinese listedfirms not only supports our theoretical predictions well,but also offers a method to examine the agency conflict hypothesis.We suggest that the high proportion of bank loans or long-term debt in total liabilities can help levered firms alleviate the agency problem arising from contraction decisions.展开更多
Receiver autonomous integrity monitoring(RAIM) provides integrity monitoring of global positioning system(GPS) for safety-of-life applications.In the process of RAIM, fault identification(FI) enables navigation ...Receiver autonomous integrity monitoring(RAIM) provides integrity monitoring of global positioning system(GPS) for safety-of-life applications.In the process of RAIM, fault identification(FI) enables navigation to continue in the presence of fault measurement.Affected by satellite geometry, the leverage of each measurement in position solution may differ greatly.However, the conventional RAIM FI methods are generally based on maximum likelihood of ranging error for different measurements, thereby causing a major decrease in the probability of correct identification for the fault measurement with high leverage.In this paper, the impact of leverage on the fault identification is analyzed.The leveraged RAIM fault identification(L-RAIM FI) method is proposed with consideration of the difference in leverage for each satellite in view.Furthermore,the theoretical probability of correct identification is derived to evaluate the performance of L-RAIM FI method.The experiments in various typical scenarios demonstrate the effectiveness of L-RAIM FI method over conventional FI methods in the probability of correct identification for the fault with high leverage.展开更多
Increasing attention has been focused on the analysis of the realized volatil- ity, which can be treated as a proxy for the true volatility. In this paper, we study the potential use of the realized volatility as a pr...Increasing attention has been focused on the analysis of the realized volatil- ity, which can be treated as a proxy for the true volatility. In this paper, we study the potential use of the realized volatility as a proxy in a stochastic volatility model estimation. We estimate the leveraged stochastic volatility model using the realized volatility computed from five popular methods across six sampling-frequency transaction data (from 1-min to 60- min) based on the trust region method. Availability of the realized volatility allows us to estimate the model parameters via the MLE and thus avoids computational challenge in the high dimensional integration. Six stock indices are considered in the empirical investigation. We discover some consistent findings and interesting patterns from the empirical results. In general, the significant leverage effect is consistently detected at each sampling frequency and the volatility persistence becomes weaker at the lower sampling frequency.展开更多
The governance effects of directors’and officers’liability insurance(D&O insurance),an important tool for risk diversification,are of strong concern in the capital market.Using a sample of Chinese A-share listed...The governance effects of directors’and officers’liability insurance(D&O insurance),an important tool for risk diversification,are of strong concern in the capital market.Using a sample of Chinese A-share listed firms from2009 to 2018,we examine the impact of D&O insurance on excess corporate leverage.We find that D&O insurance is negatively associated with excess corporate leverage and that this result is consistent with a series of robustness tests.Further analyses show that D&O insurance impedes excess corporate leverage mainly because of its effect on external monitoring.The effect is more pronounced for firms that are state-owned,have political connections and are located in provinces with low marketization than for other firms.展开更多
In this study,we examine the relationship between job satisfaction and firm leverage using a sample of Chinese listed firms.We find that in a sample of‘‘China’s 100 Best Employers Award"winners during 2011–20...In this study,we examine the relationship between job satisfaction and firm leverage using a sample of Chinese listed firms.We find that in a sample of‘‘China’s 100 Best Employers Award"winners during 2011–2017,job satisfaction is negatively associated with firm leverage.The effect is more pronounced in firms with higher distress risk and operating in human capital intensive industries.We confirm the validity of the main findings using a matched sample and a series of robustness checks.Overall,our results indicate that firms can credibly demonstrate their commitment to stakeholders and re-shape their capital structure by improving job satisfaction.展开更多
The extensive utilization of the Internet in everyday life can be attributed to the substantial accessibility of online services and the growing significance of the data transmitted via the Internet.Regrettably,this d...The extensive utilization of the Internet in everyday life can be attributed to the substantial accessibility of online services and the growing significance of the data transmitted via the Internet.Regrettably,this development has expanded the potential targets that hackers might exploit.Without adequate safeguards,data transmitted on the internet is significantly more susceptible to unauthorized access,theft,or alteration.The identification of unauthorised access attempts is a critical component of cybersecurity as it aids in the detection and prevention of malicious attacks.This research paper introduces a novel intrusion detection framework that utilizes Recurrent Neural Networks(RNN)integrated with Long Short-Term Memory(LSTM)units.The proposed model can identify various types of cyberattacks,including conventional and distinctive forms.Recurrent networks,a specific kind of feedforward neural networks,possess an intrinsic memory component.Recurrent Neural Networks(RNNs)incorporating Long Short-Term Memory(LSTM)mechanisms have demonstrated greater capabilities in retaining and utilizing data dependencies over extended periods.Metrics such as data types,training duration,accuracy,number of false positives,and number of false negatives are among the parameters employed to assess the effectiveness of these models in identifying both common and unusual cyberattacks.RNNs are utilised in conjunction with LSTM to support human analysts in identifying possible intrusion events,hence enhancing their decision-making capabilities.A potential solution to address the limitations of Shallow learning is the introduction of the Eccentric Intrusion Detection Model.This model utilises Recurrent Neural Networks,specifically exploiting LSTM techniques.The proposed model achieves detection accuracy(99.5%),generalisation(99%),and false-positive rate(0.72%),the parameters findings reveal that it is superior to state-of-the-art techniques.展开更多
Agent-based modeling and controlled human experiments serve as two fundamental research methods in the field of econophysics. Agent-based modeling has been in development for over 20 years, but how to design virtual a...Agent-based modeling and controlled human experiments serve as two fundamental research methods in the field of econophysics. Agent-based modeling has been in development for over 20 years, but how to design virtual agents with high levels of human-like "intelligence" remains a challenge. On the other hand, experimental econophysics is an emerging field; however, there is a lack of experience and paradigms related to the field. Here, we review some of the most recent research results obtained through the use of these two methods concerning financial problems such as chaos, leverage, and business cycles. We also review the principles behind assessments of agents' intelligence levels, and some relevant designs for human experiments. The main theme of this review is to show that by combining theory, agent-based modeling, and controlled human experiments, one can garner more reliable and credible results on account of a better verification of theory; accordingly, this way, a wider range of economic and financial problems and phenomena can be studied.展开更多
文摘This study addresses the role of R&D leverage in SMEs’performance creation.The authors do so by considering SMEs’high resource dependence due to isomorphism.We propose that R&D leverage,with a presence of dynamic capabilities,plays a moderating role in the relation between resource investments and performance.This study,which focused on Taiwan’s SMEs,conducts a questionnaire survey using the hierarchical sampling technique,across various industries and geographic areas in Taiwan.The empirical findings reveal that R&D leverage as an essential leveler in resource management enhances resource advantages.
基金sponsored by the National Social Science Foundation of China(Grant No.12&ZD089)the National Natural Science Foundation of China(Grant No.71403277)
文摘Population ageing and high financial leverage are two common problems .faced by the worM's major economies. The recent financial crisis proved that the two issues could lead to systemic risk if not handled properly. Based on dynamic panel data from 1980 to 2012 in 119 countries, this paper examines the impact of population ageing on financial leverage J?om an empirical point of view and finds that there is a signOqcant inverted U-shape relationship between the two. In addition, empirical studies show that after passing the "turning point" of ageing, there will be a marked increase in the probability of financial crisis during the "deleveraging" process. It can be projected from the empirical conclusions of this paper that China will likely enter the range of a turning point between 2019 and 2028. After that, population ageing, deleveraging and asset price collapse may have a "resonance" effect to severely impact the stability of the financial system. Therefore, China should shift to more proactive macro financial regulations as quickly as possible, as dynamic and robust management of financial leverage and forward-looking control of bubbles could ensure that the financial system remain flexible enough to avoid systemic risk to the greatest extent.
文摘The study examines the moderating effects of financial performance on the relationship between financial leverage (FL) and shareholders return (SR). Panel data of pharmaceutical companies listed in the National Stock Exchange (NSE) were used for 13 years for the period from 2002-03 to 2014-15. Findings indicated that FL is significantly related with SR. However, financial performance has an insignificant relationship with SR and did not moderate the relationship between FL and SR.
文摘As revealed by some competition of commodities supplied foreign experts, the financial leverage has an impact on the market by different listed companies, and low financial leverage implies a competitive edge but high financial leverage is liable to fail in business operation. Viewing from such an angle, the low financial leverage is in fact a conservative financial behavior, which means a reasonable selection. Generally, Chinese listed companies prefer financing from offering equity shares, which is regarded as a reasonable selection weighing both gains and risks. However, based on an analysis of the pressure of market competition to the listed companies of various industries and how they select their own fit/ancial leverage, it is found that there is an extremely unmatched phenomenon in China's capital market, i.e., the keener the commodity market competition is, the higher the financial leverage of listed companies will be. Therefore, the over-financing from offering equity shares is coexisting with under-financing from offering equity shares in China's capital market at present, and both lead listed companies to low efficiency.
基金Thls project is sponsored by National Natural Science Foundation of China( No.7007206).
文摘By applying the theory of the relationship between microeconomic leverages and corporate risks, this paper discusses methods that the IPOs should choose to dispose the trademark with their parent companies so as to go public with a high issue price. By analyzing their microeconomic leverage effects, this paper points out that each method has its specific effect on risks and the IPOs should choose the method according to its risk factors, existing assets and financial structure to gain risk income and decrease risk losses.
文摘Leverage of modem enterprise's financial management includes operating leverage and financial leverage. Both of them exist objectively, are not changeable with human's minds. They enlarge enterprise's benefit and risk, so they have both positive and negative effects. The degrees of them are measured as DOL and DFL. In financial management, the relationship between DOL and operating risk has regularity in quantity, and so does the relationship between DFL and financial risk.
文摘The study is on a linear model of the relationship between the systematic risk and the micro-economic leverage and analyzed the data from the steel, energy source and chemical fibre industry listed companies in the Chinese stock market in 2002 and 2001. Using the linear regression method, empirical equations were found. The portfolio effect was shown so that some empirical evidence had been found to support the micro-economic leverage portfolio effect theory, which was that the listed companies balanced the operating and financial leverage to minimize the systematic risk.
文摘This study aims at providing explanations for how MNCs(multinational companies)proceed with their manipulation of resources and competencies in the entry process to a foreign market.To an increasing extent,such processes perform as a staging process of resource leverage.This study identifies three stages,using the multiple case study incorporating grounded theory:the initial stage,the adaptive intensification stage,and the advantage persistence stage.In the initial stage,an MNC’s entry decision tends to be based on the resource replication mode of resource leverage;the resource exploitation mode of resource leverage is used mainly in the adaptive intensification stage,and the resource exploration mode is used in the advantage persistence stage.This study suggests that these resource leverage modes incorporating their microfoundations can be viewed as a set of potential measurements for examining MNCs'dynamic capabilities in the entry process to a new host market.
文摘A well-managed company is a company that maximizes the value of its company,which is aimed at achieving maximum profits for shareholders.This research aims to determine and analyze the influence of company size,profitability,and financial leverage on the value of companies listed on the South Korean Stock Exchange KOSPI 2018-2022.The population consists of 8 South Korean K-Pop entertainment companies registered on KOSPI 2018-2022.The sampling technique used was purposive sampling with a total sample of 8 companies and a 5-year observation period.So that 40 data were processed.The analysis technique is multiple linear regression.The results obtained show that partially company size has no significant effect on company value,profitability has a significant positive effect on company value,and financial leverage has a significant negative effect on company value.Meanwhile,simultaneously company size,profitability,and financial leverage influence company value.
基金Financial supports from National Natural Science Foundation of China(Grant No.of 71472025 and 71972027)the Fund for Cultural Celebrity and Talents(Grant No.of[2015]49)are gratefully acknowledged.
文摘This study investigates the impacts of contraction flexibility and operating leverage onfinancial leverage from the perspective of the agency conflict between shareholders and debtholders.In a continuous-time real option framework,we demonstrate that share-holders'contraction flexibility may have an adverse effect on financial leverage,and that the substitution relation between operating leverage andfinancial leverage is persistent or pronounced in the presence of contraction flexibility.The evidence from Chinese listedfirms not only supports our theoretical predictions well,but also offers a method to examine the agency conflict hypothesis.We suggest that the high proportion of bank loans or long-term debt in total liabilities can help levered firms alleviate the agency problem arising from contraction decisions.
基金supported by the National Basic Research Program of China (No.2011CB707004)the National Natural Science Foundation of China (No.61179054)
文摘Receiver autonomous integrity monitoring(RAIM) provides integrity monitoring of global positioning system(GPS) for safety-of-life applications.In the process of RAIM, fault identification(FI) enables navigation to continue in the presence of fault measurement.Affected by satellite geometry, the leverage of each measurement in position solution may differ greatly.However, the conventional RAIM FI methods are generally based on maximum likelihood of ranging error for different measurements, thereby causing a major decrease in the probability of correct identification for the fault measurement with high leverage.In this paper, the impact of leverage on the fault identification is analyzed.The leveraged RAIM fault identification(L-RAIM FI) method is proposed with consideration of the difference in leverage for each satellite in view.Furthermore,the theoretical probability of correct identification is derived to evaluate the performance of L-RAIM FI method.The experiments in various typical scenarios demonstrate the effectiveness of L-RAIM FI method over conventional FI methods in the probability of correct identification for the fault with high leverage.
文摘Increasing attention has been focused on the analysis of the realized volatil- ity, which can be treated as a proxy for the true volatility. In this paper, we study the potential use of the realized volatility as a proxy in a stochastic volatility model estimation. We estimate the leveraged stochastic volatility model using the realized volatility computed from five popular methods across six sampling-frequency transaction data (from 1-min to 60- min) based on the trust region method. Availability of the realized volatility allows us to estimate the model parameters via the MLE and thus avoids computational challenge in the high dimensional integration. Six stock indices are considered in the empirical investigation. We discover some consistent findings and interesting patterns from the empirical results. In general, the significant leverage effect is consistently detected at each sampling frequency and the volatility persistence becomes weaker at the lower sampling frequency.
基金supported by the National Social Science Youth Foundation of China(Project No.20CGL014)the Social Science Planning Project in Chongqing,China(Project No.2021BS084)
文摘The governance effects of directors’and officers’liability insurance(D&O insurance),an important tool for risk diversification,are of strong concern in the capital market.Using a sample of Chinese A-share listed firms from2009 to 2018,we examine the impact of D&O insurance on excess corporate leverage.We find that D&O insurance is negatively associated with excess corporate leverage and that this result is consistent with a series of robustness tests.Further analyses show that D&O insurance impedes excess corporate leverage mainly because of its effect on external monitoring.The effect is more pronounced for firms that are state-owned,have political connections and are located in provinces with low marketization than for other firms.
基金financial support from the National Natural Science Foundation of China(No.71802113 and No.71802170)the financial supports from China Ministry of Education(19YJA790038)the Key Laboratory of Econometrics(Xiamen University)
文摘In this study,we examine the relationship between job satisfaction and firm leverage using a sample of Chinese listed firms.We find that in a sample of‘‘China’s 100 Best Employers Award"winners during 2011–2017,job satisfaction is negatively associated with firm leverage.The effect is more pronounced in firms with higher distress risk and operating in human capital intensive industries.We confirm the validity of the main findings using a matched sample and a series of robustness checks.Overall,our results indicate that firms can credibly demonstrate their commitment to stakeholders and re-shape their capital structure by improving job satisfaction.
基金This work was supported partially by the MSIT(Ministry of Science and ICT),Korea,under the ITRC(Information Technology Research Center)Support Program(IITP-2024-2018-0-01431)supervised by the IITP(Institute for Information&Communications Technology Planning&Evaluation).
文摘The extensive utilization of the Internet in everyday life can be attributed to the substantial accessibility of online services and the growing significance of the data transmitted via the Internet.Regrettably,this development has expanded the potential targets that hackers might exploit.Without adequate safeguards,data transmitted on the internet is significantly more susceptible to unauthorized access,theft,or alteration.The identification of unauthorised access attempts is a critical component of cybersecurity as it aids in the detection and prevention of malicious attacks.This research paper introduces a novel intrusion detection framework that utilizes Recurrent Neural Networks(RNN)integrated with Long Short-Term Memory(LSTM)units.The proposed model can identify various types of cyberattacks,including conventional and distinctive forms.Recurrent networks,a specific kind of feedforward neural networks,possess an intrinsic memory component.Recurrent Neural Networks(RNNs)incorporating Long Short-Term Memory(LSTM)mechanisms have demonstrated greater capabilities in retaining and utilizing data dependencies over extended periods.Metrics such as data types,training duration,accuracy,number of false positives,and number of false negatives are among the parameters employed to assess the effectiveness of these models in identifying both common and unusual cyberattacks.RNNs are utilised in conjunction with LSTM to support human analysts in identifying possible intrusion events,hence enhancing their decision-making capabilities.A potential solution to address the limitations of Shallow learning is the introduction of the Eccentric Intrusion Detection Model.This model utilises Recurrent Neural Networks,specifically exploiting LSTM techniques.The proposed model achieves detection accuracy(99.5%),generalisation(99%),and false-positive rate(0.72%),the parameters findings reveal that it is superior to state-of-the-art techniques.
文摘Agent-based modeling and controlled human experiments serve as two fundamental research methods in the field of econophysics. Agent-based modeling has been in development for over 20 years, but how to design virtual agents with high levels of human-like "intelligence" remains a challenge. On the other hand, experimental econophysics is an emerging field; however, there is a lack of experience and paradigms related to the field. Here, we review some of the most recent research results obtained through the use of these two methods concerning financial problems such as chaos, leverage, and business cycles. We also review the principles behind assessments of agents' intelligence levels, and some relevant designs for human experiments. The main theme of this review is to show that by combining theory, agent-based modeling, and controlled human experiments, one can garner more reliable and credible results on account of a better verification of theory; accordingly, this way, a wider range of economic and financial problems and phenomena can be studied.