• The Journal of Asian Finance, Economics and Business
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• v.4 no.1
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• pp.5-18
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• 2017

Total debt in the People's Republic of China surged to nearly 290% as a ratio to GDP by the second quarter of 2016, mostly on account of non-financial corporate debt. The outpouring of credit to stem the impact of the global financial crisis accentuated industrial overcapacity in traditional sectors, such as steel, cement, and energy, while feeding asset bubbles in the property, equity and bond markets. At the Chinese corporate level, this has translated into weakened fundamentals and a fall in industrial profits, particularly of SOEs. As debtors struggle to service interest payments, non-performing loans (NPLs) have been on the rise. This paper assesses the financial fragility of the Chinese economy by looking at risk factors in the non-financial sector. We apply quantile regressions to a dataset containing all Chinese listed companies in Standard & Poor's IQ Capital database. We find higher sensitivity over time of corporate leverage to some of its key determinants, particularly for firms at the upper margin of the distribution. In particular, profitability increasingly acts as a curb on corporate leverage. At a time of falling profitability across the Chinese non-financial corporate sector, this eases the brake on leverage and may contribute to its continuing increase.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.769-781
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• 2020

This study attempts to examine the relationships between transformational leadership, learning orientation, firm innovativeness, and financial performance. Specifically, the moderating effect of learning orientation and firm innovativeness. The data collected from 606 SMEs in Thailand were evaluated using the structural equation modeling, typifying that quantitative research. The results revealed that transformational leadership had a positive effect on learning orientation. Similarly, transformational leadership had a positive effect on firm innovativeness. Further, the study found that transformational leadership had a positive indirect effect on financial performance through the mediation of learning orientation. The results of the study found that transformational leadership had a positive indirect effect on financial performance through the mediation of firm innovativeness. Transformational leadership and learning orientation to improve innovation within the organization, including organizations and leaders among themselves. Especially, innovative firms inculcate ideals of promise to learning, open-mindedness, and shared vision. Furthermore, practitioners can use the findings of this study when they perform their role of leaders to challenge creativity and innovation among followers. Finally, those developments would influence a procedure of evidence procurement, evidence distribution and shared explanation that escalations equally individual and administrative effectiveness owing to its influence going on products.

• Asia-Pacific Journal of Business
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• v.11 no.3
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• pp.137-151
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• 2020

Purpose - The purpose of this study is to investigate whether financial analysts' cash flow forecasts mitigate the accrual anomaly. In addition, we examine whether the more accurate analysts' cash flow forecasts are the greater the decline of the accrual anomaly. Design/methodology/approach - Data used in the empirical tests are extracted through KIS-VALUE and FN-GUIDE, and the sample consists of firms listed on Korea Stock Exchange for 7 years from 2005 to 2011. We test the hypotheses using multiple regression analysis and we also estimate the regressions with the decile ranks of the explanatory variables to minimize the influence of outliers. Findings - We have failed to capture evidence that the provision of financial analysts' cash flow forecasts itself reduces the accrual anomaly. However, we find the accrual anomaly to be less severe when financial analysts provide more accurate cash flow forecasts. The findings are consistent in the regression models with the decile ranks as well as in the robustness tests that controlled the accruals quality. Research implications or Originality - This study contributes to the expansion of related studies in the Korea by providing empirical evidence partially that the financial analysts' cash flow forecasts mitigate the accrual anomaly.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.665-673
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• 2021

Default has become an extreme concern in the current world due to the financial crisis. The previous prediction of companies' bankruptcy exhibits evidence of decision assistance for financial and regulatory bodies. Notwithstanding numerous advanced approaches, this area of study is not outmoded and requires additional research. The purpose of this research is to find the best classifier to detect a company's default risk and bankruptcy. This study used secondary data from the Pakistan Stock Exchange (PSX) and it is time-series data to examine the impact on the determinants. This research examined several different classifiers as per their competence to properly categorize default and non-default Pakistani companies listed on the PSX. Additionally, PSX has remained consistent for some years in terms of growth and has provided benefits to its stockholders. This paper utilizes machine learning techniques to predict financial distress in companies listed on the PSX. Our results indicate that most multi-stage mixture of classifiers provided noteworthy developments over the individual classifiers. This means that firms will have to work on the financial variables such as liquidity and profitability to not fall into the category of liquidation. Moreover, Adaptive Boosting (Adaboost) provides a significant boost in the performance of each classifier.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.591-599
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• 2021

The increased risk in financial firms, due to Global Financial Crises and high international trade activities, has encouraged banks to use derivatives for both managing their financial risk and earning non-operating income simultaneously. The present study brings new evidence in the existing literature by determining the drivers behind financial derivative usage in Pakistani banks for 2011 till 2016. Moreover, the paper examines how risk plays a moderating role in determining the relationship between derivative usage and bank value. While assessing the determinants, a two-stage test has conducted, first, the logit regression was used to test the drivers behind the derivative usage in banks. Second, Tobit regression was run to analyze the factors leading to determine the extent of derivative usage. The findings demonstrate that Pakistani banks are using derivatives for both risk management and speculative motive as they are customers and users of derivatives at the same time. Empirical results, regarding moderating role of risk on the value implications of derivative usage, provide mixed findings as derivative usage gives value premium in case of non-systematic risk and foreign exchange risk. Whereas value discounts have been observed for cases where systematic risk is high and managers try to earn non-operating income from speculative activities.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.4
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• pp.325-332
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• 2022

This research aims to examine and assess how management methods, financial conditions, and corporate governance strategies affect stock returns. This study employs a quantitative approach with a population of 1968 firms with stock returns (return) and a sample of 225 companies with corporate governance practices in the manufacturing industry in Indonesia from 2013 to 2018. The findings of this study show that strategic management has a significant impact on stock return, financial condition, and corporate governance strategy. The findings of this study on debt strategy as a proxy for management strategy, debt default as a proxy for economic conditions, corporate governance strategy as a proxy for centralized ownership, and independent commissioners function as a mechanism of internal and external control in increasing stock return for investors all support increasing stock return for investors. The cost reduction strategy includes reducing operating costs unless the audit committee has not yet functioned as an internal control or requirement for a company to be listed with the Financial Services Authority on the Indonesia Stock Exchange.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.9
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• pp.229-239
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• 2022

The primary objective of the current study is to ascertain the effect of transparency and disclosure (T&D) on the value of banks operating in the Indian banking sector. It also includes finding the moderating impact of financial distress (FD) and environmental, social, and governance (ESG) on the association between T&D and the valuation of banks. The study employs Panel data analysis (PDA) to analyze data and produce novel results thereafter. The authors of the study have considered using data of secondary nature which is sourced from banks operating in the Indian banking industry. Data in the current study has been considered for ten financial years, i.e., 2010 to 2019. The results reveal that T&D positively impacts a firm's valuation. We have also found evidence that financial distress and ESG (Environmental, Social, and Governance) significantly impact the value of firms under the influence of T&D. As far as we are aware, no study of this kind has been done yet in any developing nation to determine the effect that T&D, FD, and ESG have on the value of Indian banks. This paper can help future researchers in their respective studies that will involve the study variables (FD, T&D, and ESG).

• The Journal of Asian Finance, Economics and Business
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• v.9 no.1
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• pp.121-132
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• 2022

The uncertainty regarding inventory may impart dynamic impacts on corporate-level financial decisions. Among others, a decision about capital investment is a crucial decision that requires overall financial stability. Following these theoretical notions, the current study aims to identify possible consequences of inventory volatility relating to corporate capital investment decisions. We employed ten years of data (2010-2019) of non-financial sector firms to achieve the objective. The Driscoll-Kraay model was used to quantify the regression. The statistical results imply that inventory volatility negatively influences capital investment decisions due to information asymmetry about the current financial position. Additionally, more volatility brings discrepancies in managers' investing decisions to fulfill the possible demand options of capital investment that require processing the inventory. However, based upon the statistical findings, it is suggested to corporate managers that they should consider the financial sensitivity of enterprises regarding inventory volatility. Thus, the current study introduces new thoughts regarding inventory volatility and its empirical role in determining capital investment.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.683-684
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• 2015

Project Financing (PF) is the long-term financing of infrastructure and industrial projects based upon the projected cash flows of the project rather than the balance sheets of its sponsors. However, the financial institution, the subject of financing in the case of PF in Korea, the lack of validation system of business, rather than to assess the feasibility of the project, requested a credit reinforcement to the construction company, the fact is Construction Company on loans of the employer is the guarantor or debt argument commitments accordingly. As a result, PF contingent liabilities, which are indirect debt, are triggered in the construction company, not included in the financial statements, along with the disclosure standards established according to 2009 PF contingent liabilities, and major can be a management item. In this study, PF contingent liabilities is of Pearson of the index and the PF debt ratio showing the main financial ratios and risk by classifying the credit rating and contractors Ranking of construction companies in order to analyze the impact on the financial condition of the company was performed correlation analyzes, through the Pearson correlation coefficient analysis indicated quantitative or negative relationship to derive the explicit indication.

• Asia pacific journal of information systems
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• v.33 no.4
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• pp.1016-1035
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• 2023

Corporate tax avoidance has been the subject of international debate since the Enron scandal and has raised awareness of the need for greater transparency in financial markets. Efforts have been made to strengthen financial reporting requirements and meet the needs of investors and other stakeholders, including digitalization of financial reporting through Extensible Business Reporting Language (XBRL). This study examines the impact of the mandatory adoption of XBRL on corporate tax avoidance. We tested our predictions using a panel dataset of Indonesian firms listed on the IDX stock exchange. Based on available information in the DATASTREAM database covering the 2013-2017 period, we used two proxies for tax avoidance i.e., GAAP effective tax rate and current effective tax rate. We estimated multiple regression model including industry and year fixed effects. The results show that XBRL implementation has reduced corporate tax avoidance. These findings suggest that improving corporate transparency through XBRL could play a deterrent tool to corporate tax avoidance. The results of this study should be useful to tax authorities and accounting standard setters supporting the benefits of digitalizing financial reporting and continuing to complete XBRL taxonomies around the world.