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| Reference_description_with_linked_URLs_____________________ | NOtes___________________________________________________________ |
|---|---|
| https://www.scottaaronson.com/blog/ | Scott Aaronson - Quantum blog |
| https://medium.com/@vipinsun/quantum-supremacy-the-blockchain-2b035ecc87f9 | Vipin - Quantum computing impacts on encryption |
| Quantitative Analysis Definitions - investopedia | |
Global Layer 1 (GL1) Whitepaper ( see RSN for comparison ) | The Global Layer One (GL1) initiative explores the development of a multi-purpose, shared ledger infrastructure based on Distributed Ledger Technology (DLT) that is envisioned to be developed by regulated financial institutions for the financial industry. This paper introduces the GL1 initiative and discusses the role of a shared ledger infrastructure that would be compliant with applicable regulations and governed by common technological standards, principles and practices, on which regulated financial institutions across jurisdictions could deploy tokenised assets. |
Citi Institutional Interoperability Report. url
https://www.eetimes.com/document.asp?doc_id=1335027
Mitigate Credit Risk in Trade Finance_ Tools, Techniques, and Best Practices _ by Andrea Frosinini link
credit investigations of a borrower
credit insurance
Still another essential strategy for controlling credit risk is credit insurance. This kind of insurance compensates the insured party in case of default, therefore shielding companies against non-payment. Transferring the risk to an insurance provider helps businesses protect their receivables and keep cash flow even in the case of a trade partner failing payment responsibilities. Although credit insurance costs extra, the security it provides might often exceed the cost, particularly in erratic markets or when working with new or high-risk partners.
advance payments from buyer to seller
In cases when an advance payment is not possible, partial payments or progress payments connected to particular benchmarks might provide a compromise between risk and competitiveness.
bank letter of credit lowers default risks
letter of credit — a financial instrument used by banks — guarantees payment to the seller upon goods delivery. Acting as a middleman, the bank provides a degree of security for both sides.
Using trade finance tools such as factoring and forfaiting helps control credit risk
reduces credit risk but also enhances liquidity,
A proactive way to control credit risk is to routinely evaluate credit policies, update risk assessments, and guarantee legal and regulatory compliance.
crucial are good communication and well defined contracts. Clearly stated payment terms, delivery conditions, and dispute resolution procedures help to avoid misunderstandings and offer legal action should non-payment occur.
credit management program. These rules specify the conditions of credit, the standards for creditworthiness, and the steps for payment collection and monitoring.
Good credit management helps businesses to strike a balance between the necessity to control risk and safeguard their financial interests and the need to provide credit to propel development and sales.
Credit policies can define credit options to customers based on their credit classifications from internal and 3rd party services
companies should carefully evaluate the important elements of adopting portfolio risk monitoring, routinely monitoring performance measures, and embracing digitalization to simplify credit operations before using credit risk mitigating solutions
Automation helps credit teams react quickly to any changes in risk profiles by streamlining the process, lowering manual mistakes, and offering constant monitoring.
In poorly run companies, a sales team can override the finance team on finance issues
Predictive analysis can help id future credit problems - Before the order is issued, artificial intelligence may forecast forthcoming blocked orders and assist in client partial payment recovery.
Client onboarding - manual vs TYS
The simplified client onboarding procedure is also another important factor. Forming initial impressions and guaranteeing a good client experience depend on the onboarding period. Still, in many companies — especially mid-sized companies — this procedure is typically labor-intensive and laborious.
Effective credit risk reduction also depends on competent credit data aggregation.
Digitizing their credit risk management systems can help companies enjoy several advantages w event-driven policy systems
Real-time credit risk monitoring keeps companies informed about all possible hazards and possibilities, therefore helping them to spot and reduce credit risks before they become major issues. By helping to lower bad debt incidence, this proactive strategy promotes greater cash flow and financial stability
improvement of the customer experience is also another major advantage of digitization. Effective and quick client onboarding, along with transparent and simplified credit decision communication, enhances important points of contact.
Compliance - digital solutions can also help companies be more compliant with legal criteria
D&B business risk themes - 2023
https://www.dnb.co.uk/perspectives/finance-credit-risk/quarterly-global-business-risk-report.html
Allianz-Trade.com
https://www.allianz-trade.com/en_US/resources/country-reports.html
Supply chain resilience by country - FM Global
Country Risk
https://www.investopedia.com/terms/c/countryrisk.asp
business context and value opportunities
Quantitative analysis (QA) in finance refers to the use of mathematical and statistical techniques to analyze financial & economic data and make trading, investing, and risk management decisions.
QA starts with data collection, where quants gather a vast amount of financial data that might affect the market. This data can include anything from stock prices and company earnings to economic indicators like inflation or unemployment rates. They then use various mathematical models and statistical techniques to analyze this data, looking for trends, patterns, and potential investment opportunities. The outcome of this analysis can help investors decide where to allocate their resources to maximize returns or minimize risks.
Some key aspects of quantitative analysis in finance include:1
The overall goal is to use data, math, statistics, and software to make more informed financial decisions, automate processes, and ultimately generate greater risk-adjusted returns.
Quantitative analysis is widely used in central banking, algorithmic trading, hedge fund management, and investment banking activities. Quantitative analysts, employ advanced skills in programming, statistics, calculus, linear algebra etc. to execute quantitative analysis.
Quantitative analysis relies heavily on numerical data and mathematical models to make decisions regarding investments and financial strategies. It focuses on the measurable, objective data that can be gathered about a company or a financial instrument.
But analysts also evaluate information that is not easily quantifiable or reduced to numeric values to get a better picture of a company's performance. This important qualitative data can include reputation, regulatory insights, or employee morale. Qualitative analysis thus focuses more on understanding the underlying qualities of a company or a financial instrument, which may not be immediately quantifiable.
Quantitative isn't the opposite of qualitative analysis. They're different and often complementary philosophies. They each provide useful information for informed decisions. When used together. better decisions can be made than using either one in isolation.
Some common uses of qualitative analysis include:6
https://finance.ec.europa.eu/sustainable-finance/overview-sustainable-finance_en
Sustainable finance refers to the process of taking environmental, social and governance (ESG) considerations into account when making investment decisions in the financial sector, leading to more long-term investments in sustainable economic activities and projects. Environmental considerations might include climate change mitigation and adaptation, as well as the environment more broadly, for instance the preservation of biodiversity, pollution prevention and the circular economy. Social considerations could refer to issues of inequality, inclusiveness, labour relations, investment in people and their skills and communities, as well as human rights issues. The governance of public and private institutions – including management structures, employee relations and executive remuneration – plays a fundamental role in ensuring the inclusion of social and environmental considerations in the decision-making process.
In the EU's policy context, sustainable finance is understood as finance to support economic growth while reducing pressures on the environment to help reach the climate- and environmental objectives of the European Green Deal, taking into account social and governance aspects. Sustainable finance also encompasses transparency when it comes to risks related to ESG factors that may have an impact on the financial system, and the mitigation of such risks through the appropriate governance of financial and corporate actors.
See more on EU Green Deal here
Climate, Carbon Management & more#theEuropeanGreenDeal
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