Wheat Futures Commodity Volatility

KEUSX Commodity   565.50  1.75  0.31%   
At this stage we consider Wheat Commodity to be very steady. Wheat Futures shows Sharpe Ratio of 0.0579, which attests that the commodity had a 0.0579% return per unit of risk over the last 3 months. We have found thirty technical indicators for Wheat Futures, which you can use to evaluate the volatility of the commodity. Please check out Wheat Futures' Mean Deviation of 1.22, market risk adjusted performance of (0.45), and Downside Deviation of 1.47 to validate if the risk estimate we provide is consistent with the expected return of 0.0894%.
  
Wheat Futures Commodity 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 Wheat daily returns, and it is calculated using variance and standard deviation. We also use Wheat's beta, its sensitivity to the market, as well as its odds of financial distress to provide a more practical estimation of Wheat Futures volatility.
Downward market volatility can be a perfect environment for commodity traders who play the long game. For example, an investor can purchase Wheat Futures that has halved in price over a short period. This will lower the average cost, improving your portfolio's performance when the markets normalize. Similarly, when the prices of wheat futures' commodities rise, investors can sell out and invest the proceeds in other commodities with better opportunities.

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Wheat Futures Market Sensitivity And Downside Risk

Wheat Futures' beta coefficient measures the volatility of Wheat commodity 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 Wheat commodity's returns against your selected market. In other words, Wheat Futures's beta of -0.19 provides an investor with an approximation of how much risk Wheat Futures commodity can potentially add to one of your existing portfolios. Wheat Futures has relatively low volatility with skewness of 0.13 and kurtosis of -0.28. Understanding different market volatility trends often help investors to time the market. Properly using volatility indicators enable traders to measure Wheat Futures' commodity risk against market volatility during both bullish and bearish trends. The higher level of volatility that comes with bear markets can directly impact Wheat Futures' commodity 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 Wheat Futures Demand Trend
Check current 90 days Wheat Futures correlation with market (Dow Jones Industrial)

Wheat Beta

    
  -0.19  
Wheat 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

    
  1.54  
It is essential to understand the difference between upside risk (as represented by Wheat Futures's standard deviation) and the downside risk, which can be measured by semi-deviation or downside deviation of Wheat Futures' daily returns or price. Since the actual investment returns on holding a position in wheat commodity 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 Wheat Futures.

Wheat Futures Commodity Volatility Analysis

Volatility refers to the frequency at which Wheat Futures commodity price increases or decreases within a specified period. These fluctuations usually indicate the level of risk that's associated with Wheat Futures' price changes. Investors will then calculate the volatility of Wheat Futures' commodity to predict their future moves. A commodity that has erratic price changes quickly hits new highs, and lows are considered highly volatile. A commodity with relatively stable price changes has low volatility. A highly volatile commodity 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 Wheat Futures' volatility:

Historical Volatility

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

Implied Volatility

This type of volatility provides a positive outlook on future price fluctuations for Wheat Futures' current market price. This means that the commodity will return to its initially predicted market price. This type of volatility can be derived from derivative instruments written on Wheat Futures' 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. Wheat Futures 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.

Wheat Futures Projected Return Density Against Market

Assuming the 90 days horizon Wheat Futures has a beta of -0.1884 . This indicates as returns on the benchmark increase, returns on holding Wheat Futures are expected to decrease at a much lower rate. During a bear market, however, Wheat Futures is likely to outperform the market.
Most traded commodities, like Wheat Futures, are exposed to two types of risk: systematic (i.e., market-wide) and unsystematic (i.e., specific to the commodities market). Unsystematic risk pertains to events directly impacting Wheat Futures prices. This risk can be mitigated by diversifying investments across various commodities from different sectors that have low correlation with each other. Conversely, systematic risk involves price fluctuations due to broader commodity market trends and cannot be eliminated through diversification. Regardless of the number of commodities in your portfolio, market-wide risks persist. However, you can assess Wheat Futures' historical responsiveness to market shifts to gauge your comfort with its price volatility. Beta and standard deviation are key metrics to guide this analysis.
Wheat Futures has an alpha of 0.1085, implying that it can generate a 0.11 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Predicted Return Density   
       Returns  
Wheat Futures' volatility is measured either by using standard deviation or beta. Standard deviation will reflect the average amount of how wheat commodity'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 a Wheat Futures Price Volatility?

Several factors can influence a commodity'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 price of oil distribution companies. Similarly, any government regulation in a specific industry could negatively influence prices due to increased presure on compliance that may impact the commodity'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 commodity prices. Everything from speeches to elections may influence investors, who can directly influence the prices in any particular industry.

The Commodity's Performance

Sometimes volatility will only affect an individual commodity. For example, a revolutionary product launch or strong earnings report may attract many investors to purchase the commodity. This positive attention will raise the commodity's price.

Wheat Futures Commodity Risk Measures

Assuming the 90 days horizon the coefficient of variation of Wheat Futures is 1726.81. The daily returns are distributed with a variance of 2.38 and standard deviation of 1.54. The mean deviation of Wheat Futures is currently at 1.22. For similar time horizon, the selected benchmark (Dow Jones Industrial) has volatility of 0.77
α
Alpha over Dow Jones
0.11
β
Beta against Dow Jones-0.19
σ
Overall volatility
1.54
Ir
Information ratio -0.02

Wheat Futures Commodity Return Volatility

Wheat Futures historical daily return volatility represents how much of Wheat Futures commodity's daily returns swing around its mean - it is a statistical measure of its dispersion of returns. Wheat Futures shows 1.5434% volatility of returns over 90 . By contrast, Dow Jones Industrial accepts 0.7685% volatility on return distribution over the 90 days horizon.
 Performance 
       Timeline  

Wheat Futures Investment Opportunity

Wheat Futures has a volatility of 1.54 and is 2.0 times more volatile than Dow Jones Industrial. 13 percent of all equities and portfolios are less risky than Wheat Futures. You can use Wheat Futures to protect your portfolios against small market fluctuations. The commodity experiences a normal downward trend and little activity. Check odds of Wheat Futures to be traded at 559.85 in 90 days.

Good diversification

The correlation between Wheat Futures and DJI is -0.09 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Wheat Futures and DJI in the same portfolio, assuming nothing else is changed.

Wheat Futures Additional Risk Indicators

The analysis of Wheat Futures' 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 Wheat Futures' investment and either accepting that risk or mitigating it. Along with some common measures of Wheat Futures commodity'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 commoditys, we recommend comparing similar commoditys with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Wheat Futures 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 Wheat Futures 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. Wheat Futures' 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, Wheat Futures' 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 Wheat Futures.