June 2026
26Jun

Insights and Analysis: The AI Revolution

By Pension Trusts Enhanced Data Management and Predictive Analytics Central to the operations of DB pensions is the handling of extensive and diverse data sets. AI can significantly improve the way data is managed through advanced data processing abilities. With machine learning algorithms, there's the potential to dissect decades of pension data. This could help identify underlying trends, enhance the valuation of long-term liabilities and fine-tune outcomes. Conventional actuarial models in Asset Liability Management (ALM) are based on time-tested statistical methods. While...

June 26, 2026
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25Jun

AI in pensions raises governance challenge for trustees: Cartwright

Artificial intelligence used across pension schemes is creating a governance challenge rather than a new regulatory risk, according to Cartwright Pension Trusts. Cartwright said trustees should focus on oversight, accountability and existing governance frameworks as AI becomes more widely used across scheme operations. It said trustees remain responsible for decisions and member outcomes, whether services are delivered by people or AI tools and should incorporate AI considerations into existing governance, risk management, supplier oversight and information security frameworks. According to Cartwright,...

June 25, 2026
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18Jun

South Korea. Robotics ETFs Draw 3 Trillion Won as ‘100-Year Growth’ Sector Rises

“Pension investors, just memorize this. These are the ETFs that will make you smile in the end if you consistently accumulate them: U.S. representative index ETFs, robotics and automation ETFs, and monthly dividend ETFs. Most pension investments end within these categories.” This is the investment advice gaining attention in pre-retiree communities these days. The so-called “pension trio” strategy positions U.S. representative index ETFs as a solid foundation, supplemented by robotics ETFs targeting growth potential and monthly dividend ETFs that provide...

June 18, 2026
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May 2026
27May

Korea pension giant NPS bolsters operating system to manage risk amid market volatility

Korea’s National Pension Service (NPS) is strengthening its operating system to better manage portfolio risk amid uncertainty in global markets, according to Won Joo Seo, executive fund director and chief investment officer of the pension giant. He said that even though the pension fund achieved a “good” record  18.82% investment return last year, it remains vigilant over rising volatility in Korean and international markets. “Global market uncertainty and transformation are becoming more complex and structural. Competition among countries in security, industrial policy...

May 27, 2026
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22May

Pension Fund Investment and Firm Innovation

By Cédric Schneider, Dario Pozzoli & David Pinkus We use a unique database on domestic pension fund investment to analyze the relationship between pension fund investment and innovation within Danish firms. We find a significant positive association between pension fund investment and various measures of innovation, including green technologies for climate change mitigation and adaptation. However, this relationship is much weaker in highly competitive industries,suggesting that pension funds encourage innovation by monitoring and holding managers accountable. Our analysis also shows...

May 22, 2026
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April 2026
28Apr

UK. Four in five adults unaware of pensions dashboard

Four in five UK adults remain unaware of pensions dashboards, despite the approaching connection deadline and growing expectations that the tool will play a key role in retirement planning, research from KPMG UK has revealed. The study found that 80 per cent of UK adults have not heard of the pensions dashboard, with awareness particularly low among those closest to retirement. Among those aged 55–64, 81 per cent were unaware of the initiative, rising to 87 per cent among those aged...

April 28, 2026
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24Apr

UK. Pensions dashboards are schemes ready for the next step

TPR dashboards lead Lucy Stone emphasises that connection is just the start of the dashboards journey, urging schemes to keep up the momentum, focus on value data and embrace the opportunities to learn from user testing. We are edging ever closer to people being able to see all their pensions online at a time of their choosing, revolutionising how they plan for retirement. With the deadline for connection less than six months away, three quarters of all records are...

April 24, 2026
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17Apr

How Will AI Affect Financial Planning for Retirement?

By Luke Delorme  I recently attended a financial advisor conference focused on artificial intelligence. Drawing on what I learned, this post summarizes my thoughts on how AI may reshape financial planning for retirement savers. Spoiler alert: I think it has great potential to help both advisors and individuals. The first iteration of AI tools has already improved retirement planning. For example, forward-thinking advisors are currently using AI note-taking tools, which allow advisors to listen more closely to their clients without missing...

April 17, 2026
Articles, Pension design, , , ,
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14Apr

Ghana: NPRA to Launch Digital Platform to Boost Informal Sector Pension Enrolment

THE National Pensions Regulatory Authority (NPRA) has announced plans to roll out a comprehensive pension digital platform aimed at significantly increasing pension coverage among informal sector workers across the country. The initiative forms part of a broader policy direction by the Authority to introduce targeted incentives that will encourage workers in the informal economy to enrol onto personal pension schemes and secure their retirement income. Speaking at a media engagement in Accra, the Deputy Chief Executive Officer of the NPRA, Mr...

April 14, 2026
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01Apr

Large Language Models in Financial Decision-Making: A Methodological Framework for Evaluating AI Trading Strategies

By Theo Nicolas Sitjar Large Language Models (LLMs) offer new possibilities for financial decision-making, but evaluating their effectiveness in trading requires systematic approaches. This paper describes a practical framework for assessing LLM performance in stock market scenarios. Our method follows a 5-step process: data preparation, prompt engineering, LLM inference, backtesting, and statistical analysis. We include memory mechanisms and standard risk metrics to evaluate trading strategies comprehensively. Through testing against fifteen traditional quantitative baseline strategies, we examine both the potential benefits...

April 1, 2026
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