State Farm Municipal Fund Market Value

SFBDX Fund  USD 8.00  0.01  0.12%   
State Farm's market value is the price at which a share of State Farm trades on a public exchange. It measures the collective expectations of State Farm Municipal investors about its performance. State Farm is trading at 8.00 as of the 20th of July 2025; that is 0.12 percent decrease since the beginning of the trading day. The fund's open price was 8.01.
With this module, you can estimate the performance of a buy and hold strategy of State Farm Municipal and determine expected loss or profit from investing in State Farm over a given investment horizon. Check out State Farm Correlation, State Farm Volatility and State Farm Alpha and Beta module to complement your research on State Farm.
Symbol

Please note, there is a significant difference between State Farm's value and its price as these two are different measures arrived at by different means. Investors typically determine if State Farm is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, State Farm's 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.

State Farm '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 State Farm's mutual 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 State Farm.
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 State Farm on April 21, 2025 and sell it all today you would earn a total of 0.00 from holding State Farm Municipal or generate 0.0% return on investment in State Farm over 90 days. State Farm is related to or competes with State Farm, State Farm, State Farm, and State Farm. The fund invests primarily in a diversified selection of municipal bonds with maturities of one to seventeen years More

State Farm 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 State Farm's mutual 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 State Farm Municipal upside and downside potential and time the market with a certain degree of confidence.

State Farm Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for State Farm's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as State Farm's standard deviation. In reality, there are many statistical measures that can use State Farm historical prices to predict the future State Farm's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of State Farm's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
7.868.008.14
Details
Intrinsic
Valuation
LowRealHigh
7.217.358.80
Details
Naive
Forecast
LowNextHigh
7.847.988.12
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
7.998.038.07
Details

State Farm Municipal Backtested Returns

At this stage we consider State Mutual Fund to be very steady. State Farm Municipal owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.23, which indicates the fund had a 0.23 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for State Farm Municipal, which you can use to evaluate the volatility of the fund. Please validate State Farm's Downside Deviation of 0.2022, standard deviation of 0.155, and Risk Adjusted Performance of 0.135 to confirm if the risk estimate we provide is consistent with the expected return of 0.0322%. The entity has a beta of 0.0275, which indicates not very significant fluctuations relative to the market. As returns on the market increase, State Farm's returns are expected to increase less than the market. However, during the bear market, the loss of holding State Farm is expected to be smaller as well.

Auto-correlation

    
  0.62  

Good predictability

State Farm Municipal has good predictability. Overlapping area represents the amount of predictability between State Farm 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 State Farm Municipal price movement. The serial correlation of 0.62 indicates that roughly 62.0% of current State Farm price fluctuation can be explain by its past prices.
Correlation Coefficient0.62
Spearman Rank Test0.6
Residual Average0.0
Price Variance0.0

State Farm Municipal lagged returns against current returns

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

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

State Farm Lagged Returns

When evaluating State Farm's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of State Farm mutual fund have on its future price. State Farm 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, State Farm autocorrelation shows the relationship between State Farm mutual fund current value and its past values and can show if there is a momentum factor associated with investing in State Farm Municipal.
   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 State Mutual Fund

State Farm financial ratios help investors to determine whether State Mutual 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 State with respect to the benefits of owning State Farm security.
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