Search Results (23)

This study investigates why firms with large book–tax differences (BTDs) exhibit lower earnings persistence, particularly during periods of revenue declines. While prior literature has linked BTDs, especially large positive BTDs (LPBTDs), to earnings management, we propose an alternative explanation rooted in operational disruptions. Using a large panel of U.S. firms from 1995 to 2016, we examine whether short-term earnings persistence is affected by sales trends and the direction of BTDs. Our findings reveal that both large positive and large negative BTDs are significantly associated with reduced earnings persistence when sales decline. The effect is pronounced in both accrual and cash flow components of earnings. We develop and test a framework based on “operations theory,” which attributes this reduction to real business shocks, such as asset write-downs, facility closures, and reserve adjustments, that arise during sales decline periods. These results highlight the importance of distinguishing operationally driven BTDs from those arising through discretionary accruals. Our findings have implications for investors, regulators, and researchers seeking to interpret BTDs more accurately in volatile economic environments. Full article

The present study focuses on how various firm characteristics influence their dividend payout policies. The study finds empirical evidence with regard to primarily two aspects of corporate dividend decisions—dividend increase and decrease, whose exploration is inadequate in the past literature. The random effect logistic regression has been considered in order to analyze the panel dataset from 2001–2002 to 2021–2022 including 3739 listed Indian firms. The empirical models are formatted based on the relevant dividend-related theories in the Indian context such as the residual theory, transaction cost theory, signalling theory, etc. Further, additional tests are conducted regarding the robustness of the reported results. The empirical results document that firm size, profitability, promoter holdings, cash holdings, and life cycle have a favourable influence on the propensity of both increasing and decreasing dividend payouts. In contrast, earnings volatility, leverage, and free cash flow reduce firms’ tendency to increase and decrease dividend payments. These results indicate that higher liquidity and ownership concentration provide firms with greater financial flexibility to adjust their dividend policies as per their prevailing opportunities. The findings of the study offer insightful information about how to arrange dividend policies with firm-specific traits which will be helpful for managers and investors to make better decisions. Full article

This study evaluates the economic viability of the South Pasopati Coal Project in Indonesia, addressing market volatility, carbon pricing policies, and the country’s energy transition towards Net Zero Emissions (NZE). Given Indonesia’s reliance on coal and the increasing global shift toward renewable energy, traditional valuation methods such as Discounted Cash Flow (DCF) may not adequately capture uncertainty and strategic flexibility. The study applies Real Options Valuation (ROV), integrating Monte Carlo Simulation (MCS) and Binomial Lattice Modeling, to assess project feasibility under various scenarios. The research compares three valuation scenarios: the base scenario (eastern route), an alternative scenario (western route), and a carbon pricing scenario. Results indicate that while the DCF method estimates a positive Net Present Value (NPV) for the base scenario, it fails to incorporate price volatility risks. The ROV method, however, captures managerial flexibility and provides a more robust valuation, showing an Expanded NPV (ENPV) that better reflects market uncertainties. Findings suggest that implementing ROV improves decision-making, particularly in volatile markets. The study underscores the necessity for Indonesia to adopt more flexible valuation frameworks to enhance investment decisions in the coal sector while aligning with international environmental standards. Full article

Forecast risk management is central to the financial management process. This study aims to apply Monte Carlo simulation to solve three classic probabilistic paradoxes and discuss their implementation in corporate financial management. The article presents Monte Carlo simulation as an advanced tool for risk management in financial management processes. This method allows for a comprehensive risk analysis of financial forecasts, making it possible to assess potential errors in cash flow forecasts and predict the value of corporate treasury growth under various future scenarios. In the investment decision-making process, Monte Carlo simulation supports the evaluation of the effectiveness of financial projects by calculating the expected net value and identifying the risks associated with investments, allowing more informed decisions to be made in project implementation. The method is used in reducing cash flow volatility, which contributes to lowering the cost of capital and increasing the value of a company. Simulation also enables more accurate liquidity planning, including forecasting cash availability and determining appropriate financial reserves based on probability distributions. Monte Carlo also supports the management of credit and interest rate risk, enabling the simulation of the impact of various economic scenarios on a company’s financial obligations. In the context of strategic planning, the method is an extension of decision tree analysis, where subsequent decisions are made based on the results of earlier ones. Creating probabilistic models based on Monte Carlo simulations makes it possible to take into account random variables and their impact on key financial management indicators, such as free cash flow (FCF). Compared to traditional methods, Monte Carlo simulation offers a more detailed and precise approach to risk analysis and decision-making, providing companies with vital information for financial management under uncertainty. This article emphasizes that the use of Monte Carlo simulation in financial management not only enhances the effectiveness of risk management, but also supports the long-term growth of corporate value. The entire process of financial management is able to move into the future based on predicting future free cash flows discounted at the cost of capital. We used both numerical and analytical methods to solve veridical paradoxes. Veridical paradoxes are a type of paradox in which the result of the analysis is counterintuitive, but turns out to be true after careful examination. This means that although the initial reasoning may lead to a wrong conclusion, a correct mathematical or logical analysis confirms the correctness of the results. An example is Monty Hall’s problem, where the intuitive answer suggests an equal probability of success, while probabilistic analysis shows that changing the decision increases the chances of winning. We used Monte Carlo simulation as the numerical method. The following analytical methods were used: conditional probability, Bayes’ rule and Bayes’ rule with multiple conditions. We solved truth-type paradoxes and discovered why the Monty Hall problem was so widely discussed in the 1990s. We differentiated Monty Hall problems using different numbers of doors and prizes. Full article

We examine financial reporting and firm operations, focusing specifically on the roles of ‘enterprise risk management’ (ERM), within which a holistic approach is taken to the conceptualization and management of all types of risk. We measure ERM implementation based on information obtained from 2004–2014 financial reports on 648 firms. We find that ERM implementation is associated with higher reporting quality and reduced volatility in future firm performance in terms of both operating cash flows and stock returns. Our difference-in-differences analyses indicate that these associations were strengthened by the introduction of the Securities and Exchange Commission (SEC) final rule in 2010, requiring increased and improved disclosure related to risk oversight. Our findings, which we attribute to the incremental effects of ERM and enhanced risk disclosure over time, point to the substantial advantages of ERM and the importance of related disclosure, which should prove to be of interest to firms as well as policymakers. Full article

This study examines the integration of multi-real-option valuation and security token offering (STO) as an innovative approach to real estate project financing. The case study of Aspen Resort Development serves to illustrate this methodology. The traditional discounted cash flow (DCF) method is frequently ill-suited to the dynamic and uncertain nature of long-term real estate projects, particularly in regard to the ability to adapt to market fluctuations. In order to address these limitations, this study employs a multi-real-option model with a binomial lattice framework, thereby facilitating flexible decision-making in various investment stages. The analysis demonstrates that the STO-based project financing (STO-PF) model offers enhanced financial performance and strategic advantages in comparison to the conventional DCF approach. Furthermore, the STO-PF model has the effect of increasing liquidity, expanding investment accessibility, and improving risk management through the utilization of digital platforms. By quantifying the project’s extended net present value (ENPV), the integration of STOs with real-options models can facilitate optimal investment decisions in the context of a high level of market volatility. Consequently, the STO-PF model is determined to yield a project value (E) of USD 7.34 million and a real-options value (ROV) of USD 3.69 million. This is markedly higher than the net present value (NPV) of USD 3.65 million derived from the traditional project finance (PF) model. Furthermore, the put option for the second investment stage contributes USD 16.45 million to the overall value of the project, thereby demonstrating the flexibility and strategic advantages of the STO framework in comparison to static NPV analysis. The Aspen project serves as a case study, demonstrating the financial viability of phased investments in dynamic market conditions. It contributes to the theoretical understanding of STO-based financing and provides practical insights for developers seeking flexible and innovative financing solutions in the real estate sector. Further research is required to confirm the applicability of STOs in diverse market environments and regulatory contexts. Additionally, in-depth research is necessary to integrate emerging technologies, such as artificial intelligence and machine learning, into multi-real-option-based financial platforms. This integration aims to enhance financial modeling and decision-making processes, as well as to facilitate the integration of digital technologies in this field. Only then can the development and implementation of smart construction development advance. Full article

The greatest source of failure in portfolio analytics is not individual models that perform poorly, but rather an inability to integrate models quantitatively across management functions. The separable components of age–period–cohort models provide a framework for integrated credit risk modeling across an organization. Using a panel data structure, credit risk scores can be integrated with an APC framework using either logistic regression or machine learning. Such APC scores for default, payoff, and other key rates fit naturally into forward-looking cash flow estimates. Given an economic scenario, every applicant at the time of origination can be assigned profit and profit volatility estimates so that underwriting can truly be account-level. This process optimizes the most fallible part of underwriting, which is setting cutoff scores and assigning loan pricing and terms. This article provides a summary of applications of APC models across portfolio management roles, with a description of how to create the models to be directly integrated. As a consequence, cash flow calculations are available for each account, and cutoff scores can be set directly from portfolio financial targets. Full article

Financial institutions, particularly banks, have long grappled with the dilemma of structuring their capital optimally. This process, commonly referred to as capital structure decision-making, is of paramount importance, especially within the financial services sector, where strict regulations are imposed by reserve and central banks in alignment with global Basel guidelines. This study unveils the key factors that determine the capital structure choices of African banks, using panel data encompassing 45 listed banks across six nations that had embraced the Basel III Accord spanning the years 2010 to 2019. The study used the system-generalised moment methods (sys-GMM) estimator to fit the formulated panel data regression model. The study findings showed positive associations between ZSCORE, an indicator of bank financial stability, and net interest margin ratio (NIMR) with bank leverage (TCTE). In addition, the results revealed positive correlations between earnings volatility (EV), profitability (P), and risk (R) with bank leverage (TDCE). This suggests that profitable banks are inclined to favour debt financing, a phenomenon driven by their ability to comfortably service debt obligations with free cash flows. This study’s overarching conclusion underscores the dominant influence of the Liquidity Coverage Ratio (LCR) on African bank capital structures. Whether assessing traditional or Basel III-prescribed measures of bank leverage, LCR consistently emerged as the primary determinant. This finding is of significant relevance to bank executives and regulators, offering them essential insights for informed decision-making by considering striking a balance between equity and debt financing based on financial stability, profitability, and risk profiles. Full article

Using a firm-level measure of climate change exposure, this study examines the role of managerial ability in the association between climate change exposure and corporate performance. Based on a sample of 43,620 firm-year observations over the period between 2001 and 2021, the study documents that although increased climate change exposure reduces corporate performance, managerial ability moderates this relationship. Specifically, this study shows that higher managerial ability mitigates the negative effect of climate change risk on financial performance and cash flow volatility reported by prior studies. These results hold across different specifications and when addressing the potential endogeneity issue concerning managerial ability. The findings of this study are essential to build a complete picture of the effect of climate change exposure on corporate performance. A key implication of the findings is that firms exposed to climate change risk are encouraged to enhance their managerial ability to overcome the negative impact of climate change exposure on corporate performance. Full article

This study aims to establish which sources of financing were used and the relevance of different banking products for Portuguese companies during the pandemic. We also intend to understand the determinants of companies’ financing options and what lies behind their decisions concerning the appropriate level of debt. A quantitative methodology was used, based on a questionnaire given to Portuguese companies to analyse different financing issues. The sample was composed of 1957 companies with a business volume of more than EUR 500,000 per year. The results show that Portuguese companies focused on managing liquidity and corporate risk. We found evidence that companies kept financing themselves by banking products such as in the pre-pandemic period, although 29.6% resorted to the LAE-COVID economy support line. Companies decide on the appropriate amount of debt based on the nature of the business, the phase of the life cycle in which the company is, the cash flows’ volatility, accounting results, credit rating, and fiscal benefits. Academicians and companies should master the concept of company financing and adopt strategies to consider the level of debt and refine the banking products to be used. Although the literature on business financial management usually claims that all crises are the same, the COVID-19 pandemic not only caused a recession but also forced people and companies to adapt to a new environment. Portuguese companies have shown resilience and focus on their adoption of good financing practices. Full article

The short- and long-term volatility of oil and gas prices has a wide-ranging impact on both parties of petroleum contractual agreements, thus affecting the profitability of the project at any stage. Therefore, the government (first party) and the international oil company (second party) set the parameters of their contracts in a way that reduces the uncertainty. The effect of price fluctuations on economic indicators is investigated in this paper. The Taguchi method is used for the first time to find the best-agreement parameters, which are the “A” and “B” factors, in the standard Libyan agreement. There are four “A” components from “A1” to “A4”, and four “B” components from “B1” to “B4”. The purpose is to reduce the variability in the response variables, which are the company take (the percent of net cash flow for the international company) and average value of the second-party percent share of production (ASPS). The noise factors considered in this paper are oil, liquefied hydrocarbon byproduct (LHP), and gas prices. The method was applied to a case study of oil field development in Libya. The results showed that “A3” and “A4” were the most important control factors that affect the ASPS, while “B2” and “B3” are the most important factors affecting the company take. To obtain robust results, the most important factors to reduce variability were also determined. The effect of control parameters on the average NPV may be worth more than USD 22 MM in the 1-billion-barrel oilfield case study. The results showed that, for a given combination of “A” and “B” factors with a certain company take, the mean absolute deviation (MAD) of the NPV of the second party was reduced by 18% if the optimal combinations of the levels were used. Full article

The green innovation strategy has gradually become the key for enterprises as microeconomic entities to gain competitive advantages and adapt to complex changes in the external environment. Using the data of A-share listed companies in Shanghai and Shenzhen from 2010 to 2020, this paper empirically explores the impact and specific mechanism of the ownership structure of multiple major shareholders on the green innovation of enterprises. The results show that, compared with the shareholding structure of a single major shareholder, a publicly traded company with a multi-stakeholder ownership structure has a higher level of green innovation. The mechanism test shows that the equity arrangement of multiple major shareholders promotes green innovation by alleviating the fluctuation in the cash flow of the enterprise. This paper further examines the effect of regulation of multiple major shareholders on corporate green innovation and finds that green finance and the protection of intellectual property can form an effective complementary mechanism with the equity arrangement of multiple major shareholders, thereby strengthening the green innovation of enterprises. After the robustness test is carried out by the double-difference method, the two-stage instrumental variable method, and the substitution variable method, the empirical results of this paper are still valid. Full article

This study presents a real options-based framework for investment in land and water solar power projects in the idle areas of agricultural dams. The following four-step framework was verified through a case study conducted in South Korea: (1) select the location and size of the project; (2) define uncertainties in the project data (construction cost, O&M cost, sunshine hours, and mechanical efficiency) and market data (inflation, discount rate, risk-free interest rate, and electricity selling price); (3) estimate cash flow and project volatility to calculate the option value using a binomial tree model; and (4) make decisions regarding project investment. A case study was conducted for the Naju Agricultural Dam (NAD) project, which has a net present value of −6.67 million USD, but will have a profit of 38.17 million USD after an abandonment option is applied using the proposed framework. Our contributions provide a framework for evaluating the economic feasibility of installing solar projects in idle areas of agricultural dams and for improving the profitability of solar projects using the abandonment option. The proposed framework can assist investors in planning solar projects in idle areas of agricultural dams. Full article

Corporate bond yields are the manifestation of the cost of financing for private firms, and if properly evaluated, they provide researchers with valuable risk information. Within this context, this work is the first study producing corporate yield spreads for all S&P-rated bonds of G20 nations to explain their comparative riskiness. The option-adjusted spread analysis is an advanced method that enables us to compare the bonds with embedded options and different cash flow characteristics. For securities with embedded options, the volatility in the interest rates plays a role in ascertaining whether the option is going to be invoked or not. Therefore, researchers need a spread that, when added to all the forward rates on the tree, will make the theoretical value equal to the market price. The spread that satisfies this condition is called the option-adjusted spread, since it considers the option embedded into the issue. Ultimately, this work investigates the credit risk differentials of S&P rated outstanding bonds issued by the G20 nations to provide international finance professionals with option-adjusted corporate yield spreads showing the credit risk attributable to debt instruments. Detailed results computed using OAS methodology are presented in tables and used to answer the six vital credit-risk-related questions introduced in the introduction. Full article

The limitedness of the nonrenewable local energy resources in Israel, even in the background of the later gas fields’ findings, continues to force the state to devote various efforts towards ‘green’ energy development. These efforts include installations, both for the solar and for wind energy, thus improving the diversity of energy sources. While the standard discounted cash flow (DCF) method using the net present value (NPV) criterion is extensively adopted to evaluate investments, the standard DCF method is inappropriate for the rapidly changing investment climate and for the managerial flexibility in investment decisions. In recent years, the real options analysis (ROA) technique has been widely applied in many studies for the valuation of renewable energy investment projects. Taking into account the above background, we apply, in this study, the real options analysis approach for the valuation of wind energy turbines and apply it to the analysis of wind energy economic potential in Israel, which is the context of our work. We hypothesize that due to nature of wind energy production uncertainties, the ROA method is better than the alternative. The novelty of this paper includes the following: real world wind statistics of the Merom Golan site in Israel (velocity 3.73 m/s, with a standard deviation of 2.03 m/s), a realistic power generation estimation (power generation of 1205.84 kW with a standard deviation of about 0.5% in annual value which is worth about 1.3 M$ per annum), and an economic model to evaluate the profitability of such a project. We thus discuss the existing challenges of diversifying renewable energy sources in Israel by adding wind installations. Our motivation is to introduce a method which will allow investors and officials to take into account uncertainties when deciding in investing in such wind installations. The outcomes of the paper, which are obtained using the method of Weibull statistics and the Black–Scholes ROA technique, include the result that market price volatility adds to the uncertainties much more than any wind fluctuations, provided that the analysis is integrated over a long enough time. Full article