This study aims to determine whether there has been a digital transformation of financial behavior in the use fintech by micro, small and medium enterprises (SMEs) Indonesia with Covid-19 Pandemic. The used population SMEs all provinces, while sample collected was 84 from 19 provinces Indonesia. Data analysis using variance-based SEM SmartPLS 3.2.9 software tools. results show that pandemic an ...

Structural transformation is a crucial prerequisite for inclusive and sustainable development. In this context, study examines the influence of natural resource dependence on industrial structure in panel 30 Sub-Saharan (SSA) economies from 1995 to 2019, taking into account role financial The empirical analysis relies newly developed bias-corrected method-of-moments estimator. findings indicate...

The ability of A-share listed companies to adhere the digital economy and achieve long-term corporate benefits amidst an uncertain external environment through financial transformation remains a crucial concern for entrepreneurs scholars. objective this study was scrutinize effect on performance among 2566 China’s in hopes providing informative recommendations businesses that are currently unde...

The paper analyses the causes of the current crisis of the global financial system, with particular emphasis on the systemic elements that turned the crisis of subprime mortgage-backed securities in the United States, a small part of the overall system, into a worldwide crisis. The first half of the paper explains the role of mortgage securitization as a mechanism for allocating risks from real...

Abstract We analyze the evolving price fluctuations by using ultrametric distance of minimally spanning financial tree of stocks traded in Jakarta Stock Exchange 2000-2004. Ultrametricity is derived from transformation of correlation coefficients into the distances among stocks. Our analysis evaluates the performance of ups and downs of stock prices and discovers the evolution towards the finan...

This study proposes a frontline learning process by which organizations capture new knowledge generated by frontline employees in addressing productivity-quality tradeoffs during customer interactions and transform it into updated knowledge for frontline use. Updated knowledge, in turn, is posited to influence customer satisfaction and financial outcomes (i.e., revenue, efficiency). Empirical t...

Based on linear feedback control technique, a projective synchronization scheme ofN-dimensional chaotic fractional-order systems is proposed, which consists of master and slave fractional-order financial systems coupled by linear state error variables. It is shown that the slave system can be projectively synchronized with the master system constructed by state transformation. Based on the stab...

We describe the needs for data provenance in a large-scale analytic environment to support financial systemic risk analysis. Government financial regulators need to make sense of the outputs of thousands to tens of thousands of simulation runs invoked by a large analytic staff; automatic capture of data provenance (dataset sources and processing steps) supports analysts without adding to their ...

We develop a methodology to optimally design a financial issue to hedge non-tradable risk on financial markets. Economic agents assess their risk using monetary risk measure. The inf-convolution of convex risk measures is the key transformation in solving this optimization problem. When agents’ risk measures only differ from a risk aversion coefficient, the optimal risk transfer is amazingly eq...