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Decline In Net New Loans In Cyprus Highlights November 2025 Financial Trends

According to the latest report published by the Central Bank of Cyprus, net new loans in Cyprus experienced a notable decline in November 2025. The total net new loans dropped to €256.3 million from overall new loans of €565.2 million, compared with €429.4 million from total new loans of €624.9 million in the preceding month.

Detailed Financial And Statistical Overview

The report also provided comprehensive statistical data on average interest rates imposed by monetary financial institutions in Cyprus for deposits and loans denominated in euros for euro area residents. The analysis includes updated metrics for new lending volumes in November 2025 and offers a detailed breakdown across various lending categories.

Key Developments In Interest Rates

Recent adjustments in interest rates were evident across several loan and deposit categories. Notable changes include:

  • The interest rate on household time deposits up to one year increased to 1.13% from 1.07%.
  • Deposits from non-financial corporations declined from 1.23% to 1.17%.
  • Consumer loan rates rose to 6.95% from 6.88%, while home purchase loan rates edged up from 3.73% to 3.86%.
  • Rates for loans to non-financial corporations showed stability at 4.39% for amounts up to €1 million, but loans exceeding €1 million saw rates increase to 4.50%, reflecting a higher risk premium.

The analysis also emphasized that shifts within the mortgage loan portfolio—encompassing primary residences and vacation homes with diverse risk profiles—affect the weighted average interest rate regardless of isolated rate changes at individual banks.

Comparative Perspectives And Market Implications

The publication, part of the Monetary and Financial Statistics series for December 2025, offers comparative insights through parallel data available on the European Central Bank Data Portal. Specifically, it notes that while interest rates on outstanding loans in Cyprus align closely with the euro area median, deposit rates in Cyprus are markedly lower. This disparity is attributed primarily to high bank liquidity and the relatively small size of Cyprus’s banking market.

Liquidity And Deposit Dynamics

Even as new loan interest rates in Cyprus are competitive with the euro area norms, deposit interest rates remain the lowest in the region. With a Liquidity Coverage Ratio reaching 319% in November 2025—significantly higher than the EU median—the report indicates that such elevated liquidity levels are instrumental in determining the low deposit rates.

Conclusion

The Central Bank of Cyprus’s findings for November 2025 highlight a cautious lending environment accompanied by modest adjustments in key interest rates. As both household and corporate segments navigate this financial landscape, the interplay between high liquidity and market size continues to drive deposit rate disparities across the euro area.

Copyright Law Struggles To Keep Up With AI Training

Courts Are Still Applying Old Copyright Rules To AI

AI companies train models on enormous amounts of published material, including books, articles and academic research. Whether using that content without authors’ permission violates copyright law remains unresolved.

Much of the debate centres on fair use, which allows copyrighted material to be used without permission in certain circumstances. Courts consider factors such as the purpose of the use, how much material was involved and its impact on the original market.

Anthropic Case Sets An Important Precedent

A major case involving Anthropic and a group of authors provided one of the clearest rulings so far. Judge William Alsup found that using copyrighted books to train AI models was lawful, comparing the process to people reading and studying literature before creating something new.

Anthropic was nevertheless ordered to pay $1.5 billion in a settlement. The penalty concerned books the company had obtained from illegal online libraries rather than the AI training itself.

For AI companies, that distinction could prove significant because it separates studying copyrighted material from directly copying it.

Competition Could Be The Key Issue

A case involving Thomson Reuters and Ross Intelligence offers a different perspective. A court ruled that Ross could not claim fair use after using Reuters’ copyrighted material to develop a competing AI-powered legal research platform.

The decision suggests courts may be less willing to consider AI training fair use when copyrighted content is used to build a product that directly competes with the original.

For authors, an unresolved question is whether AI-generated content should be considered competition for the works used to train these models.

The Law Has Yet To Catch Up

US copyright law predates generative AI by decades, leaving courts to apply old principles to new technology. Questions also remain over copyright protection for AI-generated works. In Thaler v. Perlmutter, a court ruled that material created entirely by AI cannot receive copyright protection.

Major AI companies remain involved in copyright litigation, and different courts could reach different conclusions. For now, there is no universal rule: the legality of AI training will depend on the circumstances of each case and how courts ultimately interpret copyright and fair use.

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