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Impact of climate change on financial institutions

After the long-acknowledged fact that global warming has catastrophic consequences, it is also increasingly recognized that climate change will impact the financial industry. The Bank of England is even of the opinion that climate change represents the tragedy of the horizon: “by the time it is clear that climate change is creating risks that we want to reduce, it may already be too late to act” [1]. This article provides a summary of the type of financial risks resulting from climate change, various initiatives within the financial industry relating to the shift towards a low-carbon economy, and an outlook for the assessment of climate change risks in the future.

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Are more complex models always better?

A part of the curriculum of the Econometrics & Mathematical Economics master’s degree given in the VU University Amsterdam is the course Time Series Econometrics. In this course, students are taught how to analyze time series with the aid of ‘state-space models’, on the assumption that observations over time (such as the content of the Nile, for example) are driven by non-observed factors.

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A new standard in the Dutch mortgage market

During the past few years, the Dutch mortgage market has changed. Although their name suggests otherwise, fixed rate mortgages are nowadays anything but fixed.

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A functional approach to weather future storms

How to build a strong foundation in the regulatory insurance landscape

The insurance industry agrees that data requirements are a key challenge in the implementation of IFRS 17. Although the main purpose of IFRS 17 is to harmonize the insurance industry by setting principle-based standards, the new accounting standards also enforce a new level of data management. At Zanders we believe that this is the right opportunity to build a strong data foundation. Not only for the implementation of IFRS 17, but to prepare for any future regulatory or market changes.

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Quantification of model risk

Risk management and treasury specialists are using diverse models on a daily basis to manage various risks. It is easy to forget about the risk that is implied in using the model itself. What we refer to as ‘model risk’ can arise due to misuse of the model, incorrect model choices or inappropriate model use.

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