ALM Offensif (Germany) Volatility

0P00000GIZ  EUR 322.71  1.39  0.43%   
At this point, ALM Offensif is very steady. ALM Offensif secures Sharpe Ratio (or Efficiency) of 0.22, which signifies that the fund had a 0.22% return per unit of return volatility over the last 3 months. We have found twenty-eight technical indicators for ALM Offensif, which you can use to evaluate the volatility of the entity. Please confirm ALM Offensif's Mean Deviation of 0.3621, semi deviation of 0.262, and Risk Adjusted Performance of 0.1381 to double-check if the risk estimate we provide is consistent with the expected return of 0.1%. Key indicators related to ALM Offensif's volatility include:
720 Days Market Risk
Chance Of Distress
720 Days Economic Sensitivity
ALM Offensif Fund volatility depicts how high the prices fluctuate around the mean (or its average) price. In other words, it is a statistical measure of the distribution of ALM daily returns, and it is calculated using variance and standard deviation. We also use ALM's beta, its sensitivity to the market, as well as its odds of financial distress to provide a more practical estimation of ALM Offensif volatility.
  
Downward market volatility can be a perfect environment for investors who play the long game with ALM Offensif. They may decide to buy additional shares of ALM Offensif at lower prices to lower the average cost per share, thereby improving their portfolio's performance when markets normalize.

Moving together with ALM Fund

  0.950P000011YA BBVA TelecomunicacionesPairCorr
  0.610P0000OQRJ Echiquier Major SRIPairCorr
  0.860P00017SX2 R co ValorPairCorr
  0.880P00000RPB Barings Global UmbrellaPairCorr
  0.67DBPE Xtrackers LevDAXPairCorr

Moving against ALM Fund

  0.76DBPD Xtrackers ShortDAXPairCorr
  0.530P0000HR6L BNP Paribas MidcapPairCorr
  0.460P0000VQ56 Impact ISR PerformancePairCorr
  0.380P00000PM8 Renaissance EuropePairCorr

ALM Offensif Market Sensitivity And Downside Risk

ALM Offensif's beta coefficient measures the volatility of ALM fund compared to the systematic risk of the entire market represented by your selected benchmark. In mathematical terms, beta represents the slope of the line through a regression of data points where each of these points represents ALM fund's returns against your selected market. In other words, ALM Offensif's beta of -0.0016 provides an investor with an approximation of how much risk ALM Offensif fund can potentially add to one of your existing portfolios. ALM Offensif exhibits very low volatility with skewness of 0.14 and kurtosis of 1.17. Understanding different market volatility trends often help investors to time the market. Properly using volatility indicators enable traders to measure ALM Offensif's fund risk against market volatility during both bullish and bearish trends. The higher level of volatility that comes with bear markets can directly impact ALM Offensif's fund price while adding stress to investors as they watch their shares' value plummet. This usually forces investors to rebalance their portfolios by buying different financial instruments as prices fall.
3 Months Beta |Analyze ALM Offensif Demand Trend
Check current 90 days ALM Offensif correlation with market (Dow Jones Industrial)

ALM Beta

    
  -0.0016  
ALM standard deviation measures the daily dispersion of prices over your selected time horizon relative to its mean. A typical volatile entity has a high standard deviation, while the deviation of a stable instrument is usually low. As a downside, the standard deviation calculates all uncertainty as risk, even when it is in your favor, such as above-average returns.

Standard Deviation

    
  0.46  
It is essential to understand the difference between upside risk (as represented by ALM Offensif's standard deviation) and the downside risk, which can be measured by semi-deviation or downside deviation of ALM Offensif's daily returns or price. Since the actual investment returns on holding a position in alm fund tend to have a non-normal distribution, there will be different probabilities for losses than for gains. The likelihood of losses is reflected in the downside risk of an investment in ALM Offensif.

ALM Offensif Fund Volatility Analysis

Volatility refers to the frequency at which ALM Offensif fund price increases or decreases within a specified period. These fluctuations usually indicate the level of risk that's associated with ALM Offensif's price changes. Investors will then calculate the volatility of ALM Offensif's fund to predict their future moves. A fund that has erratic price changes quickly hits new highs, and lows are considered highly volatile. A fund with relatively stable price changes has low volatility. A highly volatile fund is riskier, but the risk cuts both ways. Investing in highly volatile security can either be highly successful, or you may experience significant failure. There are two main types of ALM Offensif's volatility:

Historical Volatility

This type of fund volatility measures ALM Offensif's fluctuations based on previous trends. It's commonly used to predict ALM Offensif's future behavior based on its past. However, it cannot conclusively determine the future direction of the fund.

Implied Volatility

This type of volatility provides a positive outlook on future price fluctuations for ALM Offensif's current market price. This means that the fund will return to its initially predicted market price. This type of volatility can be derived from derivative instruments written on ALM Offensif's to be redeemed at a future date.
Transformation
The output start index for this execution was zero with a total number of output elements of sixty-one. ALM Offensif Average Price is the average of the sum of open, high, low and close daily prices of a bar. It can be used to smooth an indicator that normally takes just the closing price as input.

ALM Offensif Projected Return Density Against Market

Assuming the 90 days trading horizon ALM Offensif has a beta of -0.0016 . This suggests as returns on the benchmark increase, returns on holding ALM Offensif are expected to decrease at a much lower rate. During a bear market, however, ALM Offensif is likely to outperform the market.
Most traded equities are subject to two types of risk - systematic (i.e., market) and unsystematic (i.e., nonmarket or company-specific) risk. Unsystematic risk is the risk that events specific to ALM Offensif or AG2R La Mondiale Gestion d'Actifs sector will adversely affect the stock's price. This type of risk can be diversified away by owning several different stocks in different industries whose stock prices have shown a small correlation to each other. On the other hand, systematic risk is the risk that ALM Offensif's price will be affected by overall fund market movements and cannot be diversified away. So, no matter how many positions you have, you cannot eliminate market risk. However, you can measure a ALM fund's historical response to market movements and buy it if you are comfortable with its volatility direction. Beta and standard deviation are two commonly used measures to help you make the right decision.
ALM Offensif has an alpha of 0.0848, implying that it can generate a 0.0848 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Predicted Return Density   
       Returns  
ALM Offensif's volatility is measured either by using standard deviation or beta. Standard deviation will reflect the average amount of how alm fund's price will differ from the mean after some time.To get its calculation, you should first determine the mean price during the specified period then subtract that from each price point.

What Drives an ALM Offensif Price Volatility?

Several factors can influence a fund's market volatility:

Industry

Specific events can influence volatility within a particular industry. For instance, a significant weather upheaval in a crucial oil-production site may cause oil prices to increase in the oil sector. The direct result will be the rise in the stock price of oil distribution companies. Similarly, any government regulation in a specific industry could negatively influence stock prices due to increased regulations on compliance that may impact the company's future earnings and growth.

Political and Economic environment

When governments make significant decisions regarding trade agreements, policies, and legislation regarding specific industries, they will influence stock prices. Everything from speeches to elections may influence investors, who can directly influence the stock prices in any particular industry. The prevailing economic situation also plays a significant role in stock prices. When the economy is doing well, investors will have a positive reaction and hence, better stock prices and vice versa.

The Company's Performance

Sometimes volatility will only affect an individual company. For example, a revolutionary product launch or strong earnings report may attract many investors to purchase the company. This positive attention will raise the company's stock price. In contrast, product recalls and data breaches may negatively influence a company's stock prices.

ALM Offensif Fund Risk Measures

Assuming the 90 days trading horizon the coefficient of variation of ALM Offensif is 448.31. The daily returns are distributed with a variance of 0.22 and standard deviation of 0.46. The mean deviation of ALM Offensif is currently at 0.34. For similar time horizon, the selected benchmark (Dow Jones Industrial) has volatility of 0.74
α
Alpha over Dow Jones
0.08
β
Beta against Dow Jones-0.0016
σ
Overall volatility
0.46
Ir
Information ratio -0.09

ALM Offensif Fund Return Volatility

ALM Offensif historical daily return volatility represents how much of ALM Offensif fund's daily returns swing around its mean - it is a statistical measure of its dispersion of returns. The fund accepts 0.4642% volatility on return distribution over the 90 days horizon. By contrast, Dow Jones Industrial accepts 0.725% volatility on return distribution over the 90 days horizon.
 Performance 
       Timeline  

About ALM Offensif Volatility

Volatility is a rate at which the price of ALM Offensif or any other equity instrument increases or decreases for a given set of returns. It is measured by calculating the standard deviation of the annualized returns over a given period of time and shows the range to which the price of ALM Offensif may increase or decrease. In other words, similar to ALM's beta indicator, it measures the risk of ALM Offensif and helps estimate the fluctuations that may happen in a short period of time. So if prices of ALM Offensif fluctuate rapidly in a short time span, it is termed to have high volatility, and if it swings slowly in a more extended period, it is understood to have low volatility.
Please read more on our technical analysis page.
Le fonds a pour objectif de raliser sur la dure de placement recommande une performance gale celle de lindice composite suivant calcul coupons et dividendes rinvestis 54 percent MSCI WORLD 26 percent CAC 40 15 percent BARCLAYS CAPITAL EURO AGGREGATE BOND 5 percent EONIA CAPITALISE JOUR. ALM Offensif is traded on Frankfurt Stock Exchange in Germany.
ALM Offensif's stock volatility refers to the amount of uncertainty or risk involved with the size of changes in its stock's price. It is a statistical measure of the dispersion of returns on ALM Fund over a specified period of time, often expressed as the standard deviation of daily returns. In other words, it measures how much ALM Offensif's price varies over time.

3 ways to utilize ALM Offensif's volatility to invest better

Higher ALM Offensif's fund volatility means that the price of its stock is changing rapidly and unpredictably, while lower stock volatility indicates that the price of ALM Offensif fund is relatively stable. Investors and traders use stock volatility as an indicator of risk and potential reward, as stocks with higher volatility can offer the potential for more significant returns but also come with a greater risk of losses. ALM Offensif fund volatility can provide helpful information for making investment decisions in the following ways:
  • Measuring Risk: Volatility can be used as a measure of risk, which can help you determine the potential fluctuations in the value of ALM Offensif investment. A higher volatility means higher risk and potentially larger changes in value.
  • Identifying Opportunities: High volatility in ALM Offensif's fund can indicate that there is potential for significant price movements, either up or down, which could present investment opportunities.
  • Diversification: Understanding how the volatility of ALM Offensif's fund relates to your other investments can help you create a well-diversified portfolio of assets with varying levels of risk.
Remember it's essential to remember that stock volatility is just one of many factors to consider when making investment decisions, and it should be used in conjunction with other fundamental and technical analysis tools.

ALM Offensif Investment Opportunity

Dow Jones Industrial has a standard deviation of returns of 0.73 and is 1.59 times more volatile than ALM Offensif. 4 percent of all equities and portfolios are less risky than ALM Offensif. You can use ALM Offensif to enhance the returns of your portfolios. The fund experiences a normal upward fluctuation. Check odds of ALM Offensif to be traded at €338.85 in 90 days.

ALM Offensif Additional Risk Indicators

The analysis of ALM Offensif's secondary risk indicators is one of the essential steps in making a buy or sell decision. The process involves identifying the amount of risk involved in ALM Offensif's investment and either accepting that risk or mitigating it. Along with some common measures of ALM Offensif fund's risk such as standard deviation, beta, or value at risk, we also provide a set of secondary indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential funds, we recommend comparing similar funds with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

ALM Offensif Suggested Diversification Pairs

Pair trading is one of the very effective strategies used by professional day traders and hedge funds capitalizing on short-time and mid-term market inefficiencies. The approach is based on the fact that the ratio of prices of two correlating shares is long-term stable and oscillates around the average value. If the correlation ratio comes outside the common area, you can speculate with a high success rate that the ratio will return to the mean value and collect a profit.
The effect of pair diversification on risk is to reduce it, but we should note this doesn't apply to all risk types. When we trade pairs against ALM Offensif as a counterpart, there is always some inherent risk that will never be diversified away no matter what. This volatility limits the effect of tactical diversification using pair trading. ALM Offensif's systematic risk is the inherent uncertainty of the entire market, and therefore cannot be mitigated even by pair-trading it against the equity that is not highly correlated to it. On the other hand, ALM Offensif's unsystematic risk describes the types of risk that we can protect against, at least to some degree, by selecting a matching pair that is not perfectly correlated to ALM Offensif.

Other Information on Investing in ALM Fund

ALM Offensif financial ratios help investors to determine whether ALM Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in ALM with respect to the benefits of owning ALM Offensif security.
AI Portfolio Architect
Use AI to generate optimal portfolios and find profitable investment opportunities
Headlines Timeline
Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity
Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated
Economic Indicators
Top statistical indicators that provide insights into how an economy is performing