Life Insurance industry

Monitor and predict the growth prospects and potential risks of the Life Insurance industry by examining the financial and macroeconomic factors affecting it and the latest Life Insurance news tracked by MacroVar. Sign Up Free to get notified instantly on the latest Life Insurance updates and get full access to MacroVar advanced analytics of Global Financial Markets, Economies and Financial Risk.

Click to explore the factors and the financial models used by MacroVar to analyze the Life Insurance industry trend, growth prospects and risks.

Life Insurance industry Markets

Market Symbol Last Mom Trend Exh RSI 1D% 1W% 1M% 1Y%
US Life Insurance industry US.LIFEINSURANCE 889.34 1 0.75 1.30341 64.6921 0.94 0.2 -2.57 -0.10012
Europe Life Insurance industry EU.LIFEINSURANCE 610.74 1 0.75 1.33515 71.0122 -1.13 -3.14 -4.81 -0.06889
US Life Insurance Credit Spreads US.LIFEINSURANCE.CR 108.75 -0.5 -1 -1.02419 29.2561 0.82 2.25 -3.08 -0.02967

Life Insurance industry News

Life Insurance industry Analysis

MacroVar monitors the performance, risk, trend and momentum of the Life Insurance industry by examining the stock and credit performance of major Life Insurance companies across the US, Europe, Eastern Europe and Asia Pacific. Life Insurance Stock performance is monitored by analyzing STOXX equity indices of major Life Insurance companies while Life Insurance credit performance is monitored by analyzing Markit iBoxx credit indices reflecting the performance of the Life Insurance high yield corporate bond market.

MacroVar also monitors fundamental indicators closely linked to the Life Insurance sector published monthly including analysis of sector specific PMI indicators, components of Manufacturing & Services PMI and Economic Sentiment Indicators analysis.

MacroVar also monitors other factors closely related to the Life Insurance industry like closely related financial markets or macroeconmic indicators.

MacroVar estimates the following signals:: Life Insurance momentum, Life Insurance trend, Life Insurance oscillator, Life Insurance RSI and Life Insurance returns.

Life Insurance industry Description

The sector of Life Insurance includes companies engaged principally in life and health insurance.

Life Insurance industry Momentum

Momentum is used to capture moves in shorter timeframes than trends. Momentum is the relative change occurring in markets. Relative change is different to a trend. A long-term trend can be up but the short-term momentum of a specific market can be 0. If a market moves down and then moves up and then moves back down the net relative change in price is 0. That means momentum is 0. A short-term positive momentum, with a long-term downtrend results in markets with no momentum.

MacroVar Life Insurance momentum signal ranges from -100 to +100. The Life Insurance momentum signal is derived as the mean value from 4 calculations for the Life Insurance . The timeframes monitored are the following: 1 Day (1 trading day), 1 Week (5 trading days), 1 Month (20 trading days), 3 Months (60 trading days)
For each timeframe, the following calculations are performed: 1. Life Insurance return is calculated for the specific timeframe and 2. if the return calculated is higher than 0, signal value output is 1 else signal value is -1. Life Insurance momentum signal is the aggregate of the the 4 values. A technical momentum rollover is identified when Life Insurance momentum signal moves from positive to negative value or vice-versa.

Life Insurance industry trend

Life Insurance trend signal ranges from -100 to +100. Life Insurance trend indicator is the mean value of the 8 calculations described below. The timeframes monitored are the following: 1-month (20 trading days), 3-months (60 trading days), 6-months (125 trading days), 1-year (250 trading days)
For each timeframe, the following calculations are performed: 1. Life Insurance Closing price vs Life Insurance moving average (MA) calculation: If Life Insurance is greater than Life Insurance MA value is +1, else -1, 2. Life Insurance Moving average slope calculation: if current Life Insurance moving average is higher than the previous MA, Life Insurance upward slope +1, else -1
Life Insurance trend model can be used as a trend strength indicator. Life Insurance trend strength values ranging between +75 and +100 or -75 and -100 show strong trend strength.
A technical trend rollover is identified when Life Insurance trend strength indicator moves from positive to negative value or vice-versa.

The most important trend indicator
The Life Insurance 52-week simple moving average and its slope are the most important indicators defining a market’s trend. Life Insurance is in an uptrend when Life Insurance price is higher than the 52-week moving average and the Life Insurance 52-week moving average has an upward slope. If fundamentals of the market have not changed and the moving average slope is still in uptrend, a price drop signifies a market correction and not a change of trend. Traders should watch oscillators like the Life Insurance oscillator and Life Insurance RSI to buy the dip and still follow the trend. The moving average slope turn signifies a change of trend.

Life Insurance industry oscillator

The Life Insurance oscillator estimated by MacroVar is the z-score of the currentLife Insurance price versus Life Insurance 1-year simple moving average price. The formula for the Life Insurance oscillator is:
Life Insurance oscillator = (Current Price – 250 trading days Life Insurance simple moving average price) / (250 days Life Insurance price standard deviation)

Life Insurance oversold conditions
Life Insurance is oversold when it is subject to a persistent downward pressure due to extreme fund outflows. When the Life Insurance is oversold it is often due for a rebound. Values of the Life Insurance oscillator lower than -2.5 signify oversold conditions. It must be noted that the Life Insurance oscillator must be analyzed ibn conjunction with the rest ofLife Insurance quantitative factors. Traders should pay less attention to overbought or oversold conditions during strong trends. They should pay close attention during counter trends and all combined with the Life Insurance RSI.
Life Insurance overbought conditions
Life Insurance is overbought when it is subject to a persistent upward pressure due to extreme fund inflows. When the Life Insurance is overbought it is often due for a correction. Values of the Life Insurance oscillator higher than +2.5 signify overbought conditions. It must be noted that the MacroVar oscillator must be compared to the rest of the Life Insurance quantitative factors. Traders should pay less attention to overbought or oversold conditions during strong trends. They should pay close attention during counter trends and all combined with the RSI.

Life Insurance RSI indicator

The RSI indicator measures the speed and change of price movements. The RSI indicator oscillates between 0 and 100. RSI is a useful indicator during normal trending market conditions when an asset price oscillates around its trend value. During big moves and strong trends however, like short squeezes or price spikes RSI and other oscillators don’t work.
During normal trend market conditions and when Life Insurance is in a downtrend RSI values between 50-60 signify overbought conditions before the downtrend is ready to resume. DuringLife Insurance uptrend, RSI values of 40 to 50 signify oversold conditions before the uptrend is ready to resume. It is strongly not recommended to enter a position when the RSI is “overbought” and falling or vice versa.

Life Insurance industry returns

MacroVar calculates Life Insurance returns for the following timeframes: Daily, Weekly, Monthly, Yearly. The formula for calculating returns is:

Life Insurance returns = (Life Insurance Closing Price – Life Insurance Previous Price)/(Life Insurance Previous Price)

Feedback
Feedback
How would you rate your experience?
Do you have any additional comment?
Next
Enter your email if you'd like us to contact you regarding with your feedback.
Back
Submit
Thank you for submitting your feedback!