Aegon Intl (Ireland) Financial Indicators Patterns

F000005OWB -- Ireland Fund  

GBp 189.00  2.00  1.05%

We suggest you to use Aegon Intl Henderson fundamental analysis to see if markets are presently mispricing the fund. In plain English you can use it to find out if Aegon Intl Henderson 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 five available fundamental indicators for Aegon Intl Henderson Cautious Mgd B which can be compared to its rivals. Please confirm Aegon Intl Henderson Equity Positions Weight and Bond Positions Weight to decide if Aegon Intl Henderson is priced fairly. Use Aegon Intl to protect against small markets fluctuations. The fund experiences somewhat bearish sentiment, but market may correct it shortly. Check odds of Aegon Intl to be traded at p;183.33 in 30 days

Aegon Intl Company Summary

The investment objective and policy of this Fund is to provide a combination of income and long-term capital growth. Aegon Intl is traded on Irland Stock Exchange in Ireland.

Aegon Intl Bond Positions Weight vs Cash Position Weight

Aegon Intl Henderson Cautious Mgd B 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  0.65  of Cash Position Weight per Bond Positions Weight. The ratio of Bond Positions Weight to Cash Position Weight for Aegon Intl Henderson Cautious Mgd B is roughly  1.54 

Aegon Intl Market Fundamentals

 Change(%) 1.05%

Distress Rating

Aegon Intl Financial Distress Probability

Chance of Financial Distress
Aegon Intl Henderson Cautious Mgd B has less than 45 (%) percent chance of experiencing financial distress in the next 2 years of operations. More Info

Aegon Intl Opportunity Range

December 13, 2018 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.