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Cyprus Banking Rates Diverge Significantly From Eurozone Benchmarks, CBC Data Reveals

Central Bank Report Highlights Stark Rate Discrepancies

The Central Bank of Cyprus (CBC) has released its July 2025 report, which underscores a pronounced divergence in financial rates between Cyprus and the broader eurozone. The data reveals that while Cypriot borrowing rates trend considerably higher, deposit rates remain markedly lower than those available within the eurozone.

Household Term Deposits: A Comparative Analysis

For new household term deposits with maturities of up to one year, Cypriot institutions offered an average rate of 1.08 percent compared to 1.72 percent in the eurozone. Notably, the highest rates in Cyprus were provided by Jordan Ahli Bank (1.38 percent) and National Bank (1.35 percent), while traditional players such as Bank of Cyprus and Astrobank lagged behind with lower yields.

In the realm of existing household term deposits with maturities of up to two years, the gap widens further. The average rate in Cyprus stands at 0.85 percent against a robust 1.99 percent in the eurozone, with leading banks like Jordan Kuwait Bank and National Bank driving higher returns.

Corporate Deposits: Elevated Disparities in Financial Terms

The report also sheds light on non-financial company deposits. New one-year term deposits yielded an average of 1.21 percent in Cyprus, significantly trailing the 1.88 percent in the eurozone. Here again, Alpha Bank led the pack with the highest rate, while institutions such as the Housing Finance Organisation and Societe Generale recorded minimal returns.

For existing corporate deposits with longer maturities, Cypriot rates averaged 1.2 percent, in contrast to 2.11 percent in the eurozone, positioning the domestic market at a clear disadvantage.

Mortgage Lending and Corporate Loan Trends

Mortgage and corporate lending disciplines reflect similar dislocations. New mortgage loan rates in Cyprus averaged 3.9 percent, with Bank of Cyprus topping the scale at 4.96 percent. Existing mortgage contracts also reveal a gap: Cyprus recorded an average of 3.71 percent compared to 2.37 percent across the eurozone.

Corporate loans reinforce this trend. Smaller loans to non-financial companies averaged 4.46 percent in new agreements, while larger loans over €1 million averaged 4.02 percent. Across existing corporate loans, Cypriot banks charged an average of 4.23 percent versus 3.03 percent in the eurozone, with certain banks such as Societe Generale applying rates upward of 5 percent.

Implications for Investors and Borrowers

The data underscores a regulatory and market environment in Cyprus that may impose higher financing costs relative to the eurozone. For both investors and borrowers, these disparities highlight the importance of rigorous due diligence when engaging with Cypriot financial institutions. Comparable to strategic asset allocation in other markets, informed decisions in Cyprus demand a nuanced understanding of local banking dynamics.

Ultimately, the CBC’s detailed disclosure enhances market transparency and affords stakeholders a clearer picture of where Cyprus stands in the competitive landscape of European finance.

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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