Aegon Intl (Ireland) Financial Indicators Patterns

F00000MNBZ -- Ireland Fund  

GBp 153.00  0.00  0.00%

We suggest you to use Aegon Intl Kames fundamental analysis to see if markets are presently mispricing the fund. In plain English you can use it to find out if Aegon Intl Kames is indeed mispriced or if you can make any profits on it by purchasing it and then waiting for the market to recognize its mistake and reprise the security. We found four available fundamental indicators for Aegon Intl Kames Ethical Corp Bd A which can be compared to its rivals. Please confirm Aegon Intl Kames Number of Employees, Cash Position Weight as well as the relationship between Cash Position Weight and Bond Positions Weight to decide if Aegon Intl Kames is priced fairly. Use Aegon Intl to protect your portfolios against small markets fluctuations. The fund experiences normal downward trend, but the immediate impact on correlations cannot be determined at the moment . Check odds of Aegon Intl to be traded at p;151.47 in 30 days.

Chance of Financial Distress

Aegon Intl Kames Ethical Corp Bd A has less than 44 (%) percent chance of experiencing financial distress in the next 2 years of operations. More Info

Aegon Intl Company Summary

This means the Fund avoids investing in companies that it decides harm people, society, animals or the environment. Aegon Intl is traded on Irland Stock Exchange in Ireland.

Aegon Intl Bond Positions Weight vs Cash Position Weight

Aegon Intl Kames Ethical Corp Bd A is one of the top funds in bond positions weight among similar funds. It is one of the top funds in cash position weight among similar funds creating about  0.07  of Cash Position Weight per Bond Positions Weight. The ratio of Bond Positions Weight to Cash Position Weight for Aegon Intl Kames Ethical Corp Bd A is roughly  13.47 

Aegon Intl Market Fundamentals

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Aegon Intl June 26, 2019 Opportunity Range

Additionally see Investing Opportunities. Please also try Watchlist Optimization module to optimize watchlists to build efficient portfolio or rebalance existing positions based on mean-variance optimization algorithm.