Madison Dividend Income Fund Market Value
BHBFX Fund | USD 27.23 0.44 1.59% |
Symbol | Madison |
Madison Dividend '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 Madison Dividend'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 Madison Dividend.
06/07/2022 |
| 03/28/2024 |
If you would invest 0.00 in Madison Dividend on June 7, 2022 and sell it all today you would earn a total of 0.00 from holding Madison Dividend Income or generate 0.0% return on investment in Madison Dividend over 660 days. Madison Dividend is related to or competes with Madison Diversified, Madison Diversified, Madison Core, Madison Funds, Madison E, Madison E, and Madison Servative. The fund seeks to achieve its investment objective by investing in equity securities of companies with a market capitali... More
Madison Dividend 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 Madison Dividend'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 Madison Dividend Income upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.6752 | |||
Information Ratio | (0.16) | |||
Maximum Drawdown | 2.52 | |||
Value At Risk | (0.83) | |||
Potential Upside | 0.7678 |
Madison Dividend Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Madison Dividend's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Madison Dividend's standard deviation. In reality, there are many statistical measures that can use Madison Dividend historical prices to predict the future Madison Dividend's volatility.Risk Adjusted Performance | 0.0488 | |||
Jensen Alpha | 0.0557 | |||
Total Risk Alpha | (0.08) | |||
Sortino Ratio | (0.13) | |||
Treynor Ratio | (0.28) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Madison Dividend'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.
Madison Dividend Income Backtested Returns
We consider Madison Dividend very steady. Madison Dividend Income has Sharpe Ratio of 0.0441, which conveys that the entity had a 0.0441% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Madison Dividend, which you can use to evaluate the volatility of the fund. Please verify Madison Dividend's Risk Adjusted Performance of 0.0488, mean deviation of 0.4291, and Downside Deviation of 0.6752 to check out if the risk estimate we provide is consistent with the expected return of 0.0276%. The fund secures a Beta (Market Risk) of -0.14, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Madison Dividend are expected to decrease at a much lower rate. During the bear market, Madison Dividend is likely to outperform the market.
Auto-correlation | -0.16 |
Insignificant reverse predictability
Madison Dividend Income has insignificant reverse predictability. Overlapping area represents the amount of predictability between Madison Dividend time series from 7th of June 2022 to 3rd of May 2023 and 3rd of May 2023 to 28th of March 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 Madison Dividend Income price movement. The serial correlation of -0.16 indicates that over 16.0% of current Madison Dividend price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.16 | |
Spearman Rank Test | 0.23 | |
Residual Average | 0.0 | |
Price Variance | 0.67 |
Madison Dividend Income lagged returns against current returns
Autocorrelation, which is Madison Dividend 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 Madison Dividend's mutual fund expected returns. We can calculate the autocorrelation of Madison Dividend returns to help us make a trade decision. For example, suppose you find that Madison Dividend 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 |
Madison Dividend 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 Madison Dividend mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Madison Dividend mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Madison Dividend mutual fund over time.
Current vs Lagged Prices |
Timeline |
Madison Dividend Lagged Returns
When evaluating Madison Dividend's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Madison Dividend mutual fund have on its future price. Madison Dividend 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, Madison Dividend autocorrelation shows the relationship between Madison Dividend mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Madison Dividend Income.
Regressed Prices |
Timeline |
Pair Trading with Madison Dividend
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Madison Dividend position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Madison Dividend will appreciate offsetting losses from the drop in the long position's value.Moving together with Madison Mutual Fund
0.94 | MBLAX | Madison Diversified | PairCorr |
0.88 | MBLCX | Madison Diversified | PairCorr |
The ability to find closely correlated positions to Madison Dividend could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Madison Dividend when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Madison Dividend - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Madison Dividend Income to buy it.
The correlation of Madison Dividend is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Madison Dividend moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Madison Dividend Income moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Madison Dividend can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Madison Dividend Correlation, Madison Dividend Volatility and Madison Dividend Alpha and Beta module to complement your research on Madison Dividend. Note that the Madison Dividend Income information on this page should be used as a complementary analysis to other Madison Dividend's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the AI Investment Finder module to use AI to screen and filter profitable investment opportunities.
Complementary Tools for Madison Mutual Fund analysis
When running Madison Dividend's price analysis, check to measure Madison Dividend's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Madison Dividend is operating at the current time. Most of Madison Dividend's value examination focuses on studying past and present price action to predict the probability of Madison Dividend's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Madison Dividend's price. Additionally, you may evaluate how the addition of Madison Dividend to your portfolios can decrease your overall portfolio volatility.
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