LEEF BRANDS's market value is the price at which a share of LEEF BRANDS trades on a public exchange. It measures the collective expectations of LEEF BRANDS INC investors about its performance. LEEF BRANDS is trading at 0.22 as of the 1st of January 2025. This is a 29.41% up since the beginning of the trading day. The stock's lowest day price was 0.19. With this module, you can estimate the performance of a buy and hold strategy of LEEF BRANDS INC and determine expected loss or profit from investing in LEEF BRANDS over a given investment horizon. Check out Your Current Watchlist to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Symbol
LEEF
LEEF BRANDS 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to LEEF BRANDS's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of LEEF BRANDS.
0.00
02/11/2023
No Change 0.00
0.0
In 1 year 10 months and 22 days
01/01/2025
0.00
If you would invest 0.00 in LEEF BRANDS on February 11, 2023 and sell it all today you would earn a total of 0.00 from holding LEEF BRANDS INC or generate 0.0% return on investment in LEEF BRANDS over 690 days.
LEEF BRANDS Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure LEEF BRANDS's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess LEEF BRANDS INC upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for LEEF BRANDS's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as LEEF BRANDS's standard deviation. In reality, there are many statistical measures that can use LEEF BRANDS historical prices to predict the future LEEF BRANDS's volatility.
LEEF BRANDS is out of control given 3 months investment horizon. LEEF BRANDS INC has Sharpe Ratio of 0.15, which conveys that the firm had a 0.15% return per unit of risk over the last 3 months. We were able to interpolate thirty different technical indicators, which can help you to evaluate if expected returns of 7.54% are justified by taking the suggested risk. Use LEEF BRANDS INC risk adjusted performance of 0.1518, and Mean Deviation of 24.1 to evaluate company specific risk that cannot be diversified away. LEEF BRANDS holds a performance score of 12 on a scale of zero to a hundred. The company secures a Beta (Market Risk) of 3.23, which conveys a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, LEEF BRANDS will likely underperform. Use LEEF BRANDS INC standard deviation, treynor ratio, downside variance, as well as the relationship between the total risk alpha and value at risk , to analyze future returns on LEEF BRANDS INC.
Auto-correlation
0.37
Below average predictability
LEEF BRANDS INC has below average predictability. Overlapping area represents the amount of predictability between LEEF BRANDS time series from 11th of February 2023 to 22nd of January 2024 and 22nd of January 2024 to 1st of January 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of LEEF BRANDS INC price movement. The serial correlation of 0.37 indicates that just about 37.0% of current LEEF BRANDS price fluctuation can be explain by its past prices.
Correlation Coefficient
0.37
Spearman Rank Test
0.19
Residual Average
0.0
Price Variance
0.0
LEEF BRANDS INC lagged returns against current returns
Autocorrelation, which is LEEF BRANDS stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting LEEF BRANDS's stock expected returns. We can calculate the autocorrelation of LEEF BRANDS returns to help us make a trade decision. For example, suppose you find that LEEF BRANDS has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values
Timeline
LEEF BRANDS regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If LEEF BRANDS stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if LEEF BRANDS stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in LEEF BRANDS stock over time.
Current vs Lagged Prices
Timeline
LEEF BRANDS Lagged Returns
When evaluating LEEF BRANDS's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of LEEF BRANDS stock have on its future price. LEEF BRANDS autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, LEEF BRANDS autocorrelation shows the relationship between LEEF BRANDS stock current value and its past values and can show if there is a momentum factor associated with investing in LEEF BRANDS INC.