Trade-off Theory Research Articles

Microprudential Regulations and Bank Lending in Nigeria

Objectives: The current study aimed at investigating the relationship between microprudential regulations and bank lending in Nigeria. Theoretical framework: The theoretical underpinning of the study is drawn on the theory of risk-return tradeoff which maintains that potential return rises with an increase in risk. Method: Financial data of 13 banks over a period of 15 years were sourced from the repository of Central Bank of Nigeria, and were analyzed using the Panel (Least Squares) Multiple regression technique. Results and Discussions: The result of analyses revealed a high R-squared value of 0.75, an indication that microprudential regulation accounted for 75% variation in profitability in the Nigeria banking institution. Also, the F-statistic of 101.31 and a p-value of 0.000, indicated that the Ordinary Least Square regression model is statistically significant at the 1% level. Overall, microprudential regulation impact on lending and profitability in Nigeria. Research Implications: More so, the study’s relevance is evident in its applications to the principles and practice of lending, fund mobilization and other finance related policies and decisions in the banking sector. Originality/ Value: The outcome of the current study is valid and can be used for statistical inference. The conceptual framework of the study is a novel model that demonstrates how the variables in the study are interconnected. Furthermore, the model specification presents a viable template for financial speculations and calculations.

Does managerial market timing with stock repurchases exist in stock market?: Evidence from Thailand

This study examines the presence of managerial market timing with stock repurchases in the Stock Exchange of Thailand (SET) from 2008 to 2017. We find that managerial market timing with stock repurchases does not exist in an emerging market (namely, Thailand) supporting the theory of pseudo market timing, as the probability of stock repurchases is not related to undervalued stocks. However, there are other motivations for conducting stock repurchases rather than managerial market timing including the distribution of excessive cash flow due to high operating income and no good future investment opportunity, and the change of capital structure because of underleverage. Our findings are supportive to the free cash flow, capital market allocation, and trade-off theories. In addition, we also find that timing firms tend to suffer from the deterioration of Tobin q ratio, market value added (MVA) and economic value added (EVA), and they do not rebalance their capital structure after this event.

Analysing the Impact of Capital Structure on Firm Value: A Study in Corporate Finance

Abstract: This study investigates the relationship between capital structure and firm value across various industries. Using a cross-sectional quantitative analysis, the research examines how different levels of debt, equity, and financial leverage affect firm value, measured by market capitalization and Tobin's Q. The findings suggest that firms with moderate debt levels experience enhanced firm value, benefiting from the tax shields provided by debt without incurring significant financial distress. However, excessive financial leverage negatively impacts firm value, as firms face increased risk of financial instability. The study supports key theories such as the trade-off theory and pecking order theory, demonstrating that capital structure decisions are influenced by factors such as firm size, profitability, and industry characteristics. The implications for corporate managers and investors include optimizing debt-equity balance to maximize firm value while managing financial risk. Future research should focus on industry-specific dynamics and longitudinal analyses to further explore these relationships.

Credit Cost Management and Financial Performance of Hotel Businesses in Kenya

This study explores the impact of credit cost management on the financial performance of businesses in Kenya's hospitality sector. Specifically, it examines how interest rates, loan collateral, and loan repayment terms influence the profitability and financial stability of small and medium-sized enterprises (SMEs) in the industry. The study is supported by Loanable funds theory, Credit scorecards theory and Tradeoff theory. Through a desk review of existing literature, the study identifies that high interest rates increase the cost of borrowing, creating financial pressure on businesses, while lower rates support profitability. Loan collateral is found to be a major determinant of access to credit, with businesses that provide sufficient collateral securing loans more easily. Flexible loan repayment terms contribute to better cash flow management and liquidity, improving overall financial performance. The study concludes that effective credit cost management is critical for the success of hospitality businesses and recommends that financial institutions and policymakers collaborate to provide more favorable credit terms, including lower interest rates, reduced collateral requirements, and more flexible repayment options. Increased transparency in loan agreements and government interventions to support SMEs are also essential for fostering financial growth in the sector.

Strategies To Improve Financial Technology Literacy For Millennials And Generation Z

This study analyses the problems and priorities of strategies to improve financial technology literacy, especially among Millennials and Generation Z. This mixed method study uses the analytic network process (ANP) approach. The data sources used are primary and secondary data. Interviews, questionnaires, and literature carried out data collection techniques. Interviews and questionnaires were conducted with seven informants: one regulator, three academics, and three online loan users. The study results showed that the geometric mean determined the priority of fintech literacy problems. The prioritized aspects are the need for more public understanding of online loans, interest rates, and community needs. The priority strategy in improving fintech literacy among Millennials and Generation Z in Bengkalis Regency is to carry out Sharia literacy regarding online loans, regulate online loan interest rates, and reduce the community's need for online loans. Theoretically, this study strengthens the validity of the trade-off theory and provides new insights into strategies to improve fintech literacy. Practically, it contributes to providing strategies to improve fintech literacy for stakeholders.

Peran Profitabilitas dalam Memediasi Kebijakan Dividen: Studi Kasus pada Jakarta Islamic Indeks 70

This study stems from the phenomenon of investment shifting from the real sector to financial Practice with expectations of obtaining returns in the form of dividend policies. The research examines the impact of Leverage, liquidity and profitability as intermediate variables in dividend policy, for issuers listed in the Jakarta Islamic Index (JII 70). Using several purposive sampling criteria, 25 issuers were selected as research samples. Leverage describes the company's ability to settle obligations with debt; companies with high leverage tend to retain earnings rather than distribute dividends. Liquidity reflects the company's ability to meet short-term obligations; liquid issuers tend to distribute dividends. Profitability, measured through Return on Equity (ROE), is expected to mediate the relationship between leverage and liquidity with dividend policy. According to the Trade-Off Theory, the balance between the use of debt and current assets positively impacts profitability, increasing the likelihood of dividend distribution. The research results show that leverage and liquidity have an adverse impact on dividend policy, with liquidity having a beneficial effect but not contributing to profitability, while leverage negatively affects profitability. Profitability does not significantly mediate the relationship between leverage and liquidity with dividend policy. These findings are important for investors and management in understanding the factors impacting dividend policy decisions in the Sharia capital market.

Bank Fintech and firm leverage adjustment speed: Evidence from China

The recent development of Fintech has greatly changed the operation and loan management of commercial banks, which has had a significant impact on firm financing and governance. This paper analyzes the impact of the rising use of bank Fintech on leverage adjustment speed. The results show that bank Fintech accelerates firm leverage adjustment speed. This effect is more pronounced for under-leveraged firms, high-growth firms, non-state-owned firms and firms located in regions with more developed institutions. Transmission channel tests show that bank Fintech can accelerate leverage adjustment speed by alleviating firm-level financial constraints and agency problems. Finally, bank Fintech improves firm performance by accelerating leverage adjustment speed. Our work extends the literature on Fintech and dynamic trade-off theory and has implications for banking regulations and Fintech development.

Optimizing Deep Learning Parameters for Enhanced Image Classification Accuracy: A Theoretical and Empirical Analysis

This study investigates the,impact of key deep learning,parameters—algorithm,type, dataset size, learning,rate, batch size, and number,of epochs—on image,classification accuracy, a,critical concern,in industries such as,healthcare, security, and,technology. Despite,advancements in deep learning, optimizing,these parameters for maximum,accuracy remains,challenging. To address,this issue, a,survey was conducted,among 381 professionals and,academics experienced,in deep learning, and,the data was analyzed,using Partial Least Squares,Structural Equation,Modeling (PLS-SEM). The,results confirm that all,five parameters significantly,influence image classification,accuracy, with optimized,settings leading to substantial,improvements. This,study contributes to,the theoretical understanding,of the Bias-Variance,Tradeoff Theory in the,context of deep learning,and offers practical guidelines,for enhancing model,performance. However, limitations,such as reliance on,self-reported data suggest,the need for further,experimental research. The,findings provide a comprehensive,framework for optimizing,deep learning models, offering,both academic insights and,practical solutions for,improving accuracy in,critical applications.

Skewness risk and the cross-section of cryptocurrency returns

This paper investigates whether investors can achieve higher returns by holding cryptocurrencies with lower asymmetry risk. First, using a non-parametric bootstrap resampling method, we found that cryptocurrencies with larger market capitalizations exhibit more left-skewed performance, while those with smaller market capitalizations display more right-skewed performance. This finding is consistent with the results of Jiang et al. (2020) in the stock market. Second, both portfolio-level analyses and cross-sectional regressions at the cryptocurrency level reveal a negative cross-sectional relationship between asymmetry risk and future returns in the cryptocurrency market. Additionally, our findings indicate that skewness in the cryptocurrency market is driven by idiosyncratic risk rather than systematic risk. This contrasts with Langlois (2020), who found that systematic skewness risk outweighs idiosyncratic risk in the stock market. Finally, in addition to the risk-return tradeoff theory, the limits-to-arbitrage theory also provides explanatory insight into these results. Collectively, our findings underscore the significant role of asymmetry risk in determining cryptocurrency prices.

Financial Synergy for Sustainable Success: Optimizing Management, Investment, AI, and Risk SMEs in Bali

In the context of globalized and environmentally conscious business landscapes, this study investigates the intricate relationships between investment decisions, risk perception, artificial intelligence (AI), and sustainable success in small and medium enterprises (SMEs) in Bali. Employing a quantitative approach, the research explores the mediating role of investment decisions using theoretical frameworks such as the Triple Bottom Line, Pecking Order Theory, Trade-Off Theory, and Prospect Theory. Results from a sample of 150 SMEs reveal significant direct effects and correlations, with investment decisions mediating between AI, risk perception, and sustainability. Managerial implications emphasize strategic AI integration, robust risk management, and a balanced approach to investment decisions for sustainable success. While limitations include sample size constraints, future research directions suggest longitudinal and qualitative studies, exploration of sectoral variations, and assessing the impact of emerging technologies on sustainability decisions. This study provides actionable insights for companies navigating the complexities of sustainable decision-making and underscores the imperative for businesses to foster a culture of adaptability and innovation. By embracing these insights and cultivating a forward-thinking approach, companies can not only optimize their current sustainability strategies but also position themselves strategically to thrive in an ever-evolving business landscape.

Long-term tax strategy and corporate acquisition payment structure: An analysis based on the book-tax tradeoff theory

This study examines the relationship between corporate acquirers’ long-term tax strategy (i.e., past behavior) and their subsequent choice of an acquisition payment method (i.e., future behavior) based on a book-tax tradeoff analysis. We find that acquirers with a high (low) level of long-term tax avoidance are more likely to have cash (stock)-financed acquisitions. Political influence attenuates the significance of the above relationship. Among the acquirers who use cash-financed payment method, those who are less tax aggressive tend to include debt to finance their acquisitions, suggesting that debt and non-debt tax shields are substitutes for each other in acquisitions.

Effect of Current Asset Structure on Financial Performance of Non-Financial Firms Listed at Nairobi Securities Exchange

The effect of current asset structure on the financial performance on organizations cannot be underrated. This study focused on non-financial firms listed at the Nairobi Securities Exchange in Kenya. The study used a census survey which involved the consideration of the entire population of the study. The research study was anchored on trade-off theory, agency theory and pecking order theory. The research study generally followed a longitudinal research design. The positivism research philosophy was adopted in the study. The unit of analysis comprised the non-financial firms listed at the Kenyan NSE between years 2011 to 2020 with a focus on 30 non-financial listed companies. The study applied both descriptive statistics and multiple regression methods in analysing the data collected. The study established that current asset structure was significantly influencing the financial performance of listed nonfinancial firms in Kenya.

Debt and taxes: the role of corporate group structure

Abstract I show that the corporate group structure generates tax benefits that create incentives for higher leverage. The tax benefits arise when losses on distressed subsidiaries are tax deductible for a parent firm. Higher tax rates then imply that more of these losses are borne by the government instead of the parent firm, reducing the expected costs of bankruptcy and thereby incentivizing the subsidiaries to take on higher leverage. Using data from a large sample of European multinationals, I show that this tax benefit exists on top of the trade-off theory and debt-shifting effects, and is stronger when deductions of subsidiary losses are more generous.

Integrated Effects of Soil Moisture on Wheat Hydraulic Properties and Stomatal Regulation.

The development of water-saving management relies on understanding the physiological response of crops to soil drought. The coordinated regulation of hydraulics and stomatal conductance in plant water relations has steadily received attention. However, research focusing on grain crops, such as winter wheat, remains limited. In this study, three soil water supply treatments, including high (H), moderate (M), and low (L) soil water contents, were conducted with potted winter wheat. Leaf water potential (Ψleaf), leaf hydraulic conductance (Kleaf), and stomatal conductance (gs), as well as leaf biochemical parameters and stomatal traits were measured. Results showed that, compared to H, predawn leaf water potential (ΨPD) significantly reduced by 48.10% and 47.91%, midday leaf water potential (ΨMD) reduced by 40.71% and 43.20%, Kleaf reduced by 64.80% and 65.61%, and gs reduced by 21.20% and 43.41%, respectively, under M and L conditions. Although gs showed a significant difference between M and L, Ψleaf and Kleaf did not show significant differences between these treatments. The maximum carboxylation rate (Vcmax) and maximum electron transfer rate (Jmax) under L significantly decreased by 23.11% and 28.10%, stomatal density (SD) and stomatal pore area index (SPI) under L on the abaxial side increased by 59.80% and 52.30%, respectively, compared to H. The leaf water potential at 50% hydraulic conduction loss (P50) under L was not significantly reduced. The gs was positively correlated with ΨMD and Kleaf, but it was negatively correlated with abscisic acid (ABA) and SD. A threshold relationship between gs and Kleaf was observed, with rapid and linear reduction in gs occurring only when Kleaf fell below 8.70 mmol m-2 s-1 MPa-1. Our findings demonstrate that wheat leaves adapt stomatal regulation strategies from anisohydric to isohydric in response to reduced soil water content. These results enrich the theory of trade-offs between the carbon assimilation and hydraulic safety in crops and also provide a theoretical basis for water management practices based on stomatal regulation strategies under varying soil water conditions.

A Study of the Capital Structure Characteristics Across Diverse Industries

The matter of how a company's capital is structured is frequently discussed in literature related to this topic since 1950s. Nevertheless, theories on optimal capital structure are categorized into different approaches, with their features often controversial and conflicting. The aim of this article is to provide a comprehensive review of the characteristics as well as determinants of the capital structure in capital-intensive, labor-intensive, and tech & healthcare industries in different countries, based on two main theories in capital structure- pecking order theory and static trade-off theory. The paper also highlights the important relationship between financial leverage and the companys performance and therefore tries to find the optimal capital structure. The study is composed of two main sections. The first part is to organize the previous study and various definitions of capital structure and some relevant theories. The second part shows how features of the leverage ratio vary across industries and how companies create value out of it. This paper proposes, after examining previous literature, that the factors influencing the optimal capital structure vary among companies depending on their characteristics. Companies in various sectors have their preferences to make the most use of debt and equity. It is hard to generalize a specific optimal ratio that suits every corporation.

Faktor Faktor Yang Mempengaruhi Struktur Modal

Capital is the main problem for business actors or companies. Companies need additional capital to develop products so they can compete with other similar companies. This research aims to analyze what factors influence the capital structure of manufacturing companies listed on the IDX for the 2020-2022 period. This research uses a pecking order theory and trade-off theory approach to build arguments between the independent variable and the dependent variable. The sample obtained from the purposive sampling technique was 42 companies over 4 years (126 observation data). The data analysis technique uses multiple linear regression analysis. The research results prove that company size has a significant negative influence on capital structure so that the hypothesis is rejected, as well as what happens to profitability on capital structure which also rejects the hypothesis, namely that profitability has a negative and insignificant effect. However, the results of the relationship between asset structure and capital structure have a significant positive influence so that the hypothesis is accepted. The coefficient of determination value proves that it is concluded that 18.3% of the independent variables, namely company size, asset structure and profitability in this study, can influence the dependent variable, namely capital structure, while 81.7% can be explained outside the variables in this study.

Capital structure determinants of small and medium enterprises in Mogadishu, Somalia

The aim of this study is to examine the factors influencing the capital structure of small and medium enterprises (SMEs) in Mogadishu, Somalia. The study applies the trade-off theory, which posits that several characteristics affect how firms finance themselves. According to this theory, firm size, which serves as a proxy for bankruptcy costs, positively influences capital structure—larger firms face lower bankruptcy risks. The research employed a descriptive correlation research design and utilized a stratified random sampling technique to gather data through questionnaires. Data analysis was conducted using the Statistical Package for Social Sciences (SPSS version 20). The study identifies three independent variables—profitability, cultural factors, and firm size—as crucial indicators of capital structure for SMEs in Mogadishu. These factors are pivotal as SMEs expand and initiate new operations. Interestingly, the perceptions or beliefs of owner-managers have little impact on capital structure decisions, while network linkages do not significantly influence SMEs' capital structure. It underscores the responsibility of SME owners and management to ensure their financial structures are optimally managed. The study highlights profitability as a significant factor affecting capital structure. In the absence of profits or insufficient profitability, businesses may struggle to survive as investors seek returns that ensure capital growth over time. Profitability thus plays a critical role in the long-term sustainability of a company.

The Effect of Capital Structure On Company Value with Profitability and Dividend Policy as A Mediating Variable

The theory of capital structure with taxes is put forward by stating that the value of a company increases as the total debt increases. The use of debt in the company's capital structure, on the other hand, also incurs costs that can reduce the value of the company, so Modigliani and Miller (1963) the trade-off theory reveals that there is a so-called optimal capital structure. This study aims to test and analyze the influence of capital structure, profitability, and dividend policy on company value, both directly and indirectly. The population of this study is pharmaceutical sub-sector companies listed on the Indonesia Stock Exchange for the period 2008-2022. The sampling technique used was the purposive sampling technique and samples were obtained from 6 companies with a total of 90 years of observation. This study uses secondary data in the form of annual financial statements of pharmaceutical sub-sector companies listed on the Indonesia Stock Exchange for the 2008-2022 period. The data analysis technique in the study uses the dynamic panel method of the system generalized method of moments (GMM) with the Rstudio application. The results of the analysis provide evidence that capital structure, profitability, and dividend policy have a significant positive effect on the company's value. Capital structure has a significant positive effect on profitability and dividend policy. Capital structure affects the value of the company through profitability as a mediating variable. Capital structure affects the value of the company through dividend policy as a mediating variable. Company management is advised to always maintain an optimal capital structure for the company so that it can increase profitability and dividend distribution so as to increase the company's value. For the next researcher, it is recommended to increase the number of research samples so that the research results can be generalized widely.

The determinants of banks' capital structure in SAARC economies

The capital structure determinants for South Asian banks are required to be exposed. This investigation attempts to address the existing gap by examining the capital structure determinants for the South Asian Association for Regional Cooperation (SAARC) countries. To accomplish the main objective, the Panel Data of 52 banks is collected from the four main regional economies for the period starting from 2012 to 2022. The methodology is based on the estimation of constructed models by executing Static Panel Data analysis and Dynamic Panel Data analysis via the Generalized Method of Moments (GMM). The investigation discovered that tangibility, growth, profitability and non-performing loans have positive significant influences, whereas, liquidity and gross domestic products have negative significant impacts on the regional banks' capital structure. Also, the significant lagged variable and the presence of adjustment speed suggest the implementation of the Dynamic Trade-Off theory in the SAARC countries' banking sectors. The findings will help regulatory bodies develop a harmonization policy to enhance financial integration among SAARC economies via adopting identified capital structure determinants.

Capital structure in Latin America: institutional and macroeconomic effects

PropósitoEste estudio analiza la influencia de los factores institucionales y macroeconómicos, además de los factores a nivel de empresa, en la estructura de capital de las empresas industriales cotizadas latinoamericanas (LATAM). El objetivo es proporcionar evidencia empírica sobre las empresas latinoamericanas desde (1) la perspectiva de las teorías tradicionales trade-off y pecking order, y (2) desde los enfoques que introducen el impacto de los factores institucionales y macroeconómicos en el análisis.Diseño/metodología/enfoqueEl análisis empírico adopta una metodología econométrica, utilizando datos de panel de empresas de Argentina, Brasil, Chile, Colombia, México y Perú, de 2008 a 2018.HallazgosLos resultados indican que, además de las características a nivel de empresa, las características institucionales y macroeconómicas de los países influyen en la estructura de capital de las empresas latinoamericanas.Limitaciones/implicaciones de la investigaciónEl estudio presenta algunas limitaciones, principalmente se centra en empresas cotizadas provenientes de solo seis países de LATAM, debido a la falta de datos. Sería recomendable realizar estudios similares con factores de gobierno corporativo, con empresas familiares y PYMES.Implicaciones prácticasLos resultados pueden servir de referencia para los agentes económicos y profesionales, animándolos a considerar la evolución de las variables institucionales y macroeconómicas a la hora de tomar decisiones. Académicamente, nuestros hallazgos verifican la validez de las teorías convencionales y la relevancia de incorporar variables institucionales externas en el marco de la estructura de capital.Originalidad/valorLa importancia de esta investigación radica en analizar la estructura de capital de empresas en un área geográfica poco explorada, LATAM, incluyendo factores institucionales y macroeconómicos y utilizando la nueva base de datos Orbis.