Lumber Futures Commodity Buy Hold or Sell Recommendation

LBUSD Commodity   598.00  12.00  1.97%   
Assuming the 90 days horizon and your above-average risk tolerance, our recommendation regarding Lumber Futures is 'Buy'. Macroaxis provides Lumber Futures buy-hold-or-sell recommendation only in the context of selected investment horizon and investor attitude towards risk assumed by holding LBUSD positions.
  
Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any commodity could be closely tied with the direction of predictive economic indicators such as signals in state.
Also, note that the market value of any commodity could be closely tied with the direction of predictive economic indicators such as signals in state.

Execute Lumber Futures Buy or Sell Advice

The Lumber recommendation should be used to complement the buy-or-sell advice compiled from the current analysts' consensus on Lumber Futures. Macroaxis does not own or have any residual interests in Lumber Futures or other equities on which the buy-or-sell advice is provided. Please provide your input below to execute Lumber Futures' advice using the current market data and latest reported fundamentals.

Time Horizon

Risk Tolerance

Execute Advice
Sell Lumber FuturesBuy Lumber Futures
Buy

Market Performance

GoodDetails

Volatility

Very steadyDetails

Hype Condition

StaleDetails

Current Valuation

UndervaluedDetails

Economic Sensitivity

Slowly supersedes the marketDetails
For the selected time horizon Lumber Futures has a Risk Adjusted Performance of 0.1214, Jensen Alpha of 0.2523, Total Risk Alpha of 0.0631, Sortino Ratio of 0.1316 and Treynor Ratio of 1.28

Lumber Futures Returns Distribution Density

The distribution of Lumber Futures' historical returns is an attempt to chart the uncertainty of Lumber Futures' future price movements. The chart of the probability distribution of Lumber Futures daily returns describes the distribution of returns around its average expected value. We use Lumber Futures price's Value At Risk and its Upside Potential as a relative measure of the distribution. The graph of the distribution of Lumber Futures returns is essential to provide solid investment advice for Lumber Futures.
Mean Return
0.28
Value At Risk
-2.17
Potential Upside
3.42
Standard Deviation
1.83
   Return Density   
       Distribution  
Investment risk management requires an estimate of the probability of extreme price changes. Therefore, the correct representation of the distribution of Lumber Futures historical returns presented in an easy-to-digest graphical form helps investors and money managers understand the risk-reward trade-off of different investement strategies.

Lumber Futures Greeks

Most traded commodities, like Lumber 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 Lumber 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 Lumber 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.
α
Alpha over Dow Jones
0.25
β
Beta against Dow Jones0.21
σ
Overall volatility
1.77
Ir
Information ratio 0.10

Lumber Futures Volatility Alert

Lumber Futures has relatively low volatility with skewness of 1.36 and kurtosis of 4.24. Understanding different market volatility trends often help investors to time the market. Properly using volatility indicators enable traders to measure Lumber 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 Lumber 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.

Lumber Futures Market Momentum

Traders often use several daily momentume indicators to supplement a more traditional technical analysis when analyzing securities such as Lumber . With many different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.

Use Investing Ideas to Build Portfolios

In addition to having Lumber Futures in your portfolios, you can quickly add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.

Did You Try This Idea?

Run Air Thematic Idea Now

Air
Air Theme
Companies specializing in air services and air delivery. The Air theme has 47 constituents at this time.
You can either use a buy-and-hold strategy to lock in the entire theme or actively trade it to take advantage of the short-term price volatility of individual constituents. Macroaxis can help you discover thousands of investment opportunities in different asset classes. In addition, you can partner with us for reliable portfolio optimization as you plan to utilize Air Theme or any other thematic opportunities.
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