A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
This study identifies financial risk paths in digital-transformed enterprises.
Financial potential is an important part of enterprise activities. The technique of the enterprise's financial potential assessment is offered in the paper. It is presented by particular stages, where each stage is related to a certain task. The characteristics of the company's financial potential, based on the analysi…
This research develops a dynamic risk management system for industrial companies.
For researching the association between coal enterprise management and return in financial market, this paper applies the method of time difference relevance and PageRank method to seek the leader-index of a stock set containing 21 coal enterprises in A-share market and score those stocks. Based on the return in 2011, …
This paper surveys enterprise financial risk analysis from Big Data and LLMs perspectives.
The basic financial purpose of an enterprise is maximization of its value. Trade credit management should also contribute to realization of this fundamental aim. Many of the current asset management models that are found in financial management literature assume book profit maximization as the basic financial purpose. …
Financial institutions face new model risks with AI, requiring enhanced model risk management.
The basic financial purpose of a firm is to maximize its value. An inventory management system should also contribute to realization of this basic aim. Many current asset management models currently found in financial management literature were constructed with the assumption of book profit maximization as basic aim. H…
AI-driven framework improves enterprise financial audits and risk identification.
Margin trading and short selling boost green tech innovation in China.
Paper presents a new method for better financial market forecasting.
The paper shows supply chain features improve cyber risk prediction.
Most of the existing solutions to enterprise threat management are preventive approaches prescribing means to prevent policy violations with varying degrees of success. In this paper we consider the complementary scenario where a number of security violations have already occurred, or security threats, or vulnerabiliti…
To assure cyber security of an enterprise, typically SIEM (Security Information and Event Management) system is in place to normalize security event from different preventive technologies and flag alerts. Analysts in the security operation center (SOC) investigate the alerts to decide if it is truly malicious or not. H…
Study introduces new financial ratios for better predicting company performance.
A scalable model estimates revenue uncertainty for SMEs.
Paper proposes a method to evaluate SME credit risk using meta paths.
It was not until the beginning of the 1990s that the effects of information and communication technology on economic growth as well as on the profitability of enterprises raised the interest of researchers. After giving a general description on the relationship between a more intense use of ICT devices and dynamic econ…
Study on insurance risk management and sustainable development.
Study combines intra-risk and contagion risk for SME bankruptcy prediction.
Concurrent engineering taking into account product life-cycle factors seems to be one of the industrial challenges of the next years. Cost estimation and management are two main strategic tasks that imply the possibility of managing costs at the earliest stages of product development. This is why it is indispensable to…
The basic financial purpose of corporation is creation of its value. Liquidity management should also contribute to realization of this fundamental aim. Many of the current asset management models that are found in financial management literature assume book profit maximization as the basic financial purpose. These boo…
Graph neural networks improve SME credit risk assessment.
We present a macroeconomic agent-based model that combines several mechanisms operating at the same timescale, while remaining mathematically tractable. It comprises enterprises and workers who compete in a job market and a commodity goods market. The model is stock-flow consistent; a bank lends money charging interest…
Efficient human resource management needs accurate assessment and representation of available competences as well as effective mapping of required competences for specific jobs and positions. In this regard, appropriate definition and identification of competence gaps express differences between acquired and required c…
Study reveals holiday effect on China's time-honored brands, especially alcoholic beverages.
A new method to protect enterprise data privacy in AI models.
iConViz helps banks manage default contagion risk in networked loans.
The boom of deep learning induced many industries and academies to introduce machine learning based approaches into their concern, competitively. However, existing machine learning frameworks are limited to sufficiently fulfill the collaboration and management for both data and models. We proposed NSML, a machine learn…
Chebyshev polynomials analyze Czech enterprises' stock dynamics.
With a new era of cloud and big data, Database Management Systems (DBMSs) have become more crucial in numerous enterprise business applications in all the industries. Accordingly, the importance of their proactive and preventive maintenance has also increased. However, detecting problems by predefined rules or stochast…
The paper presents a practical method for evaluating investment projects using real options.
Copulas have become an important tool in the modern best practice Enterprise Risk Management, often supplanting other approaches to modelling stochastic dependence. However, choosing the `right' copula is not an easy task, and the temptation to prefer a tractable rather than a meaningful candidate from the encompassing…
Being one of the most important factors of economic growth of the country, innovations became one of the key vectors in Russian economic policy. In this field technology parks are one of the most effective instruments which can provide growth of innovative activity in sectors, regions and economies. In this paper, we m…
Emerging economies frequently show a large component of their Gross Domestic Product to be dependant on the economic activity of small and medium enterprises. Nevertheless, e-business solutions are more likely designed for large companies. SMEs seem to follow a classical family-based management, used to traditional act…
Generative AI agents improve ERP systems by automating complex financial tasks.
This paper measures the intensity of implicit government guarantees using PMC index model.
Networked-guarantee loans may cause the systemic risk related concern of the government and banks in China. The prediction of default of enterprise loans is a typical extremely imbalanced prediction problem, and the networked-guarantee make this problem more difficult to solve. Since the guaranteed loan is a debt oblig…
FinanceBench benchmarks LLMs on financial QA, revealing limitations.
This study proposes a new model for predicting financial distress in SMEs using machine learning.
Digital transformation boosts corporate financial asset allocation, especially short-term.
SmallML predicts customer churn for SMEs with small data, improving accuracy by 24.2 points.
Meta-learning framework for credit risk assessment of SMEs, aligning financial statement dates with evaluation dates.
New framework uses MABs for better WLAN performance.
Paper proposes a semi-supervised learning approach for automated topic detection in support and feedback data.
A method for sharing synthetic data without revealing actual data or model parameters.
Mobile context determination is an important step for many context aware services such as location-based services, enterprise policy enforcement, building or room occupancy detection for power or HVAC operation, etc. Especially in enterprise scenarios where policies (e.g., attending a confidential meeting only when the…
Digitwashing gap boosts stock crash risk, study finds.