Players in the banking market (banking groups, central banks, regulatory authorities, online banks and “neobanks”, etc.) and insurance (insurance companies, mutual societies, …) have very varied needs in short and medium term forecasts.
In this vertical, forecasts are related to variables such as turnover by type of insurance product (life insurance, death insurance contract, borrower / credit / loan insurance, protection to policy holders against many types of risks such as property damage and loss, health and casualties, etc.), demand for loans and insurance products, expenditure of businesses and individuals in banking and insurance, margins, budget, interest income, trading income, funding, exchange rate, capital and liquidity, fraud, market risks, …
Central banks and other banking groups build macroeconomic forecasts such as GDP, foreign trade, income rate, interest rate, … For such variables, econometric modelling approaches are used for medium and long term.
Time series modelling is used for short and very short term forecasts for various variables mentioned above but also for share prices (PER, PE,…), currency exchange rates,…
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