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    The Intention of Indebtedness with a Credit Card, an Application of the Theory of Planned Behaviour
    (Mediterranean Center of Social and Educational Research, 2020-03-10)
    The goal of this research is to study the factors that determine the intention of unsecured personal debt with credit cards using the Ajzen Planned Behavior Theory model (1991). Using the data of 450 Ecuadorian professionals and a model of structural equations estimated by partial least squares, the attitudes, subjective norms and perceived control that guide people towards the intention of this debt were identified. The importance of this study is its contribution to understanding the factors that determine the intention of personal indebtedness in emerging economies, expanding the study population to the professional sector. The transversal study has a quantitative design and its purpose is explanatory correlative. The hypothesis evidence and the results show that the Ajzen Planned Behavior Theory model (1991) is a predictive model of the intention to borrow by credit card in Ecuadorian professionals. The proposed model contributes with new individual and contextual factors that demonstrate the particular importance of knowledge of credit cards (CONTC), lifestyle (ESTV) and past behaviour (CPAS) in predicting the intention of debt (INTEND). Furthermore, due to the cultural characteristics of each region of Ecuador, the results are compared between the cities: Guayaquil (Costa) and Quito (Sierra).
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    The economic consequences of the loan guarantees and firm’s performance: a moderate role of corporate social responsibility
    (SAGE Publishing, 2021-10-04)
    This study examines the causal relationship between loan guarantee and firm’s performance through a moderate role of corporate social responsibility (CSR). This study used 350 non-financial firms of China for data analysis. This study used annual panel data set from non-financial firms starting from 2009 to 2019. The findings show that a positive significant association exists among the relationship between loan guarantee and firm’s performance. Moreover, a moderate role of Corporate Social Responsibility also strengthens the relationship between the loan guarantee and firm’s performance. Furthermore, the logit regression results show that the loan guarantee, financial performances and CSR are negatively affecting the long-term zero-debts through all combinations. Also, the financial performances and loan guarantees are negatively influencing the constraints of firms in China, which shows that the financial performances and loan guarantee improvement of the firms lead to removing the constraints of firms in China.
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    Fiscal rules and public investment: the case of Peru, 2000-2019
    (2021-01-28)
    This article has three goals. First, it describes the genesis of fiscal rules in Peru and its degree of compliance. Second, it estimates the effect of fiscal rules adoption on public investment. Last, it analyzes the impact of alternative fiscal rules on public investment and public debt sustainability. Our main results are as follows. First, the implementation of fiscal rules in the year 2000 caused a 60 to 80 percent fall in public investment relative to several counterfactuals. Second, our DSGE model suggests a Structural Fiscal Rule would have increased the consumers welfare in the period 2000-2019 more than other fiscal designs. This rule reduces the procyclicality of public investment under commodity price shocks and macroeconomic volatility under world interest rate shocks. Third, a Structural Fiscal Rule has the lowest probability of exceeding the current public debt limit (30 percent of GDP), although there is a trade-off between investment-friendly rules and fiscal sustainability issues. Nevertheless, our quantitative results are limited to short spans of analysis. With a long-run perspective, we may say that fiscal rulesdespite constant modifications and recurring non-compliancehave fulfilled their original and most important goal of achieving the consolidation of public finances.
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    Better efficiency on non-performing loans debt recovery and portfolio valuation using machine learning techniques
    (Springer, 2022-01-01)
    The following research is based on a portfolio of non-performing loans (NPLs), which was previously acquired and managed by a collection agency, the company under study is one of the owners of the portfolio. The study compares the efficiency and performance of several machine learning algorithms to develop and implement a forecasting tool to estimate the recovery rate of NPL portfolios. These models help to enhance and support the debt collection operation, allowing to forecast the number of debtors that will be recovered in the lifetime of the portfolio, as well as to efficiently manage resources (recovery task force) by reducing costs and expenses. The application aims to support the valuation process at the time of portfolio purchase. The study shows that the application using a binary ranking approach based on the XGBoost model outperforms other techniques, offering good results. It is also evident that product type was one of the most influential variables among the different models. The model using this algorithm could serve as a decision support tool, precisely in the operation of purchasing a portfolio of unprofitable debts, as it allows the quantification of the client’s debt to be recovered by identifying the group of potential debtors with the highest probability of compliance, which would result in a faster and more efficient debt collection process.
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    Cemento Andino S.A.: Financial Analysis of a Latin American Company
    (European Organization for Nuclear Research, 2023-04-03)
    In emerging markets, it is essential to evaluate for a combination of debt and capital in determining the optimal value of a company. Accordingly, Peruvian companies seek to adjust their capital structure to achieve sustainability and be attractive to investors. All this is done, because an investor usually studies the capital structure of a company when deciding whether to invest money in shares. Thus, companies expect to strengthen balance sheets and reduce risks.The challenge for the senior management of the firm is to evaluate the company ́s development prospects in the domestic market and the issues associated with a strategic alliance with a foreign concern. Therefore, in the case we consider the Modigliani-Miller markets value of a firm is independent theorem from 1959, taking into account the taxes of Peru. According to Modigliani and Miller, in perfect capital markets the value of a firm is independent of its capital structure. For those reasons, the objective of this case study is to analyze and evaluate the optimal value of the company with the combination of debt and capital.