Swan Defined Risk Fund Market Value

SDFCX Fund  USD 8.77  0.02  0.23%   
Swan Defined's market value is the price at which a share of Swan Defined trades on a public exchange. It measures the collective expectations of Swan Defined Risk investors about its performance. Swan Defined is trading at 8.77 as of the 28th of November 2024; that is 0.23 percent down since the beginning of the trading day. The fund's open price was 8.79.
With this module, you can estimate the performance of a buy and hold strategy of Swan Defined Risk and determine expected loss or profit from investing in Swan Defined over a given investment horizon. Check out Swan Defined Correlation, Swan Defined Volatility and Swan Defined Alpha and Beta module to complement your research on Swan Defined.
Symbol

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

Swan Defined '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 Swan Defined'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 Swan Defined.
0.00
10/29/2024
No Change 0.00  0.0 
In 31 days
11/28/2024
0.00
If you would invest  0.00  in Swan Defined on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding Swan Defined Risk or generate 0.0% return on investment in Swan Defined over 30 days. Swan Defined is related to or competes with Calvert Global, World Energy, Jennison Natural, Fidelity Advisor, Oil Gas, and Hennessy. The fund seeks to achieve its investment objective by investing directly, or indirectly through ETFs, in foreign equity ... More

Swan Defined 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 Swan Defined'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 Swan Defined Risk upside and downside potential and time the market with a certain degree of confidence.

Swan Defined Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Swan Defined's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Swan Defined's standard deviation. In reality, there are many statistical measures that can use Swan Defined historical prices to predict the future Swan Defined's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Swan Defined'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
8.098.779.45
Details
Intrinsic
Valuation
LowRealHigh
8.158.839.51
Details

Swan Defined Risk Backtested Returns

Swan Defined Risk owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0542, which indicates the fund had a -0.0542% return per unit of risk over the last 3 months. Swan Defined Risk exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Swan Defined's Variance of 0.4553, coefficient of variation of (1,825), and Risk Adjusted Performance of (0.04) to confirm the risk estimate we provide. The entity has a beta of 0.0548, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Swan Defined's returns are expected to increase less than the market. However, during the bear market, the loss of holding Swan Defined is expected to be smaller as well.

Auto-correlation

    
  0.21  

Weak predictability

Swan Defined Risk has weak predictability. Overlapping area represents the amount of predictability between Swan Defined time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Swan Defined Risk price movement. The serial correlation of 0.21 indicates that over 21.0% of current Swan Defined price fluctuation can be explain by its past prices.
Correlation Coefficient0.21
Spearman Rank Test0.15
Residual Average0.0
Price Variance0.0

Swan Defined Risk lagged returns against current returns

Autocorrelation, which is Swan Defined 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 Swan Defined's mutual fund expected returns. We can calculate the autocorrelation of Swan Defined returns to help us make a trade decision. For example, suppose you find that Swan Defined 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  

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

Swan Defined Lagged Returns

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

Swan Defined financial ratios help investors to determine whether Swan 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 Swan with respect to the benefits of owning Swan Defined security.
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm
Crypto Correlations
Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins
Portfolio File Import
Quickly import all of your third-party portfolios from your local drive in csv format
Price Transformation
Use Price Transformation models to analyze the depth of different equity instruments across global markets