SDI Properties (Brazil) Market Value

TEPP11 Fund  BRL 82.20  0.51  0.62%   
SDI Properties' market value is the price at which a share of SDI Properties trades on a public exchange. It measures the collective expectations of SDI Properties Fundo investors about its performance. SDI Properties is trading at 82.20 as of the 20th of July 2025, a 0.62% increase since the beginning of the trading day. The fund's open price was 81.69.
With this module, you can estimate the performance of a buy and hold strategy of SDI Properties Fundo and determine expected loss or profit from investing in SDI Properties over a given investment horizon. Check out SDI Properties Correlation, SDI Properties Volatility and SDI Properties Alpha and Beta module to complement your research on SDI Properties.
Symbol

Please note, there is a significant difference between SDI Properties' value and its price as these two are different measures arrived at by different means. Investors typically determine if SDI Properties is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SDI Properties' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

SDI Properties '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 SDI Properties' fund 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 SDI Properties.
0.00
04/21/2025
No Change 0.00  0.0 
In 3 months and 1 day
07/20/2025
0.00
If you would invest  0.00  in SDI Properties on April 21, 2025 and sell it all today you would earn a total of 0.00 from holding SDI Properties Fundo or generate 0.0% return on investment in SDI Properties over 90 days. SDI Properties is related to or competes with Energisa, BTG Pactual, Plano Plano, Companhia Habitasul, Procter Gamble, Gen Digital, and Telefonaktiebolaget. More

SDI Properties 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 SDI Properties' fund 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 SDI Properties Fundo upside and downside potential and time the market with a certain degree of confidence.

SDI Properties Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for SDI Properties' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SDI Properties' standard deviation. In reality, there are many statistical measures that can use SDI Properties historical prices to predict the future SDI Properties' volatility.
Hype
Prediction
LowEstimatedHigh
81.2082.2083.20
Details
Intrinsic
Valuation
LowRealHigh
74.7875.7890.42
Details
Naive
Forecast
LowNextHigh
81.6482.6483.64
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
80.9282.2083.49
Details

SDI Properties Fundo Backtested Returns

At this point, SDI Properties is very steady. SDI Properties Fundo owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0275, which indicates the fund had a 0.0275 % return per unit of volatility over the last 3 months. We have found thirty technical indicators for SDI Properties Fundo, which you can use to evaluate the volatility of the fund. Please validate SDI Properties' coefficient of variation of 1717.92, and Risk Adjusted Performance of 0.0551 to confirm if the risk estimate we provide is consistent with the expected return of 0.0275%. The entity has a beta of -0.0696, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning SDI Properties are expected to decrease at a much lower rate. During the bear market, SDI Properties is likely to outperform the market.

Auto-correlation

    
  -0.4  

Poor reverse predictability

SDI Properties Fundo has poor reverse predictability. Overlapping area represents the amount of predictability between SDI Properties time series from 21st of April 2025 to 5th of June 2025 and 5th of June 2025 to 20th of July 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 SDI Properties Fundo price movement. The serial correlation of -0.4 indicates that just about 40.0% of current SDI Properties price fluctuation can be explain by its past prices.
Correlation Coefficient-0.4
Spearman Rank Test-0.36
Residual Average0.0
Price Variance1.06

SDI Properties Fundo lagged returns against current returns

Autocorrelation, which is SDI Properties fund'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 SDI Properties' fund expected returns. We can calculate the autocorrelation of SDI Properties returns to help us make a trade decision. For example, suppose you find that SDI Properties has exhibited high autocorrelation historically, and you observe that the fund 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  

SDI Properties 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 SDI Properties fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SDI Properties fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SDI Properties fund over time.
   Current vs Lagged Prices   
       Timeline  

SDI Properties Lagged Returns

When evaluating SDI Properties' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SDI Properties fund have on its future price. SDI Properties 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, SDI Properties autocorrelation shows the relationship between SDI Properties fund current value and its past values and can show if there is a momentum factor associated with investing in SDI Properties Fundo.
   Regressed Prices   
       Timeline  

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Other Information on Investing in SDI Fund

SDI Properties financial ratios help investors to determine whether SDI 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 SDI with respect to the benefits of owning SDI Properties security.
Competition Analyzer
Analyze and compare many basic indicators for a group of related or unrelated entities
Portfolio Suggestion
Get suggestions outside of your existing asset allocation including your own model portfolios
Pattern Recognition
Use different Pattern Recognition models to time the market across multiple global exchanges
Premium Stories
Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope