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Cyprus Banking Trends: Lower Deposit And Lending Rates Amid New Loan Surge

by THEFUTURE.TEAM

April 7, 2026

Market Overview

The Central Bank of Cyprus reported lower deposit and lending rates in February 2026, alongside an increase in new loan activity. Data from the March 2026 monetary and financial statistics show continued adjustment in borrowing costs and credit demand.

Deposit And Lending Dynamics

Household deposit rates declined to 1.19% from 1.20%, while rates for non-financial corporations fell to 1.19% from 1.34%. On the lending side, consumer credit rates decreased to 7.12% from 7.20%, and housing loan rates dropped to 3.45% from 3.70%.

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Corporate borrowing costs also declined, with rates for loans up to €1 million falling to 4.22% from 4.32%, and loans above €1 million decreasing to 4.15% from 4.34%. These changes indicate easing financing conditions across segments.

Sectoral Shifts In Loan Activity

New lending increased to €328.7 million in February from €247.3 million in January. Consumer loans rose to €20.1 million from €18.9 million, while housing loans increased to €115.1 million from €95.7 million.

Corporate lending also expanded, with loans up to €1 million rising to €47.5 million from €40.1 million. Larger loans exceeded €137.3 million, up from €88.1 million, indicating stronger business demand.

Eurozone Comparison And Monetary Transmission

Loan rates in Cyprus remain close to the eurozone median, with no spread for households and a 0.4% spread for non-financial corporations. Monetary policy transmission is broadly aligned with other eurozone economies. Transmission to corporate lending is weaker compared with other member states. This difference reflects structural factors in the domestic banking system.

Impact Of Excess Liquidity And Deposit Rates

Deposit rates remain among the lowest in the eurozone due to high liquidity levels in the banking system. The Liquidity Coverage Ratio reached 319% in December 2025, compared with an EU median of 192% and an average of 161%. Excess liquidity and market size contribute to the slower adjustment of deposit rates. Banks continue to pass on rate changes more gradually compared with lending rates.

Evolving Loan Structures And Risk Management

The share of new housing loans with variable rates declined to 15.7% from nearly 100% in early 2022. Borrowers are increasingly choosing fixed-rate structures before transitioning to floating rates. Across all lending categories, the share of floating-rate loans dropped to 53.4% from near full adoption in 2022. These shifts indicate changing risk preferences and require adjustments in bank risk management.

The Future Forbes Realty Global Properties

by News Editor

August 24, 2026

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.

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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.