Alpine Realty Income Fund Market Value
| AIAGX Fund | USD 10.06 0.08 0.80% |
| Symbol | Alpine |
Alpine Realty '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 Alpine Realty'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 Alpine Realty.
| 05/04/2022 |
| 04/23/2024 |
If you would invest 0.00 in Alpine Realty on May 4, 2022 and sell it all today you would earn a total of 0.00 from holding Alpine Realty Income or generate 0.0% return on investment in Alpine Realty over 720 days. Alpine Realty is related to or competes with Third Avenue, Victory Global, Alpine Dynamic, Real Estate, and Aegis Value. The fund invests 80 percent of its net assets in the securities of issuers which are principally engaged in the real est... More
Alpine Realty 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 Alpine Realty'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 Alpine Realty Income upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 6.46 | |||
| Value At Risk | (1.69) | |||
| Potential Upside | 1.35 |
Alpine Realty Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Alpine Realty's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Alpine Realty's standard deviation. In reality, there are many statistical measures that can use Alpine Realty historical prices to predict the future Alpine Realty's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.19) | |||
| Total Risk Alpha | (0.22) | |||
| Treynor Ratio | (0.05) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Alpine Realty'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.
Alpine Realty Me Backtested Returns
Alpine Realty Me secures Sharpe Ratio (or Efficiency) of -0.0603, which signifies that the fund had a -0.0603% return per unit of risk over the last 3 months. Alpine Realty Income exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Alpine Realty's Risk Adjusted Performance of (0.03), mean deviation of 0.8778, and Standard Deviation of 1.1 to double-check the risk estimate we provide. The fund shows a Beta (market volatility) of 1.41, which signifies 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, Alpine Realty will likely underperform.
Auto-correlation | 0.15 |
Insignificant predictability
Alpine Realty Income has insignificant predictability. Overlapping area represents the amount of predictability between Alpine Realty time series from 4th of May 2022 to 29th of April 2023 and 29th of April 2023 to 23rd of April 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 Alpine Realty Me price movement. The serial correlation of 0.15 indicates that less than 15.0% of current Alpine Realty price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.15 | |
| Spearman Rank Test | -0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 0.21 |
Alpine Realty Me lagged returns against current returns
Autocorrelation, which is Alpine Realty 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 Alpine Realty's mutual fund expected returns. We can calculate the autocorrelation of Alpine Realty returns to help us make a trade decision. For example, suppose you find that Alpine Realty 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 |
Alpine Realty 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 Alpine Realty mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Alpine Realty mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Alpine Realty mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Alpine Realty Lagged Returns
When evaluating Alpine Realty's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Alpine Realty mutual fund have on its future price. Alpine Realty 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, Alpine Realty autocorrelation shows the relationship between Alpine Realty mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Alpine Realty Income.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Alpine Realty in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Alpine Realty's short interest history, or implied volatility extrapolated from Alpine Realty options trading.
Pair Trading with Alpine Realty
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 Alpine Realty 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 Alpine Realty will appreciate offsetting losses from the drop in the long position's value.Moving together with Alpine Mutual Fund
| 0.85 | DX | Dynex Capital | PairCorr |
| 0.75 | FR | First Industrial Realty | PairCorr |
Moving against Alpine Mutual Fund
| 0.49 | EMITF | Elbit Imaging | PairCorr |
The ability to find closely correlated positions to Alpine Realty could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Alpine Realty 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 Alpine Realty - 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 Alpine Realty Income to buy it.
The correlation of Alpine Realty 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 Alpine Realty moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Alpine Realty Me 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 Alpine Realty 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 Alpine Realty Correlation, Alpine Realty Volatility and Alpine Realty Alpha and Beta module to complement your research on Alpine Realty. Note that the Alpine Realty Me information on this page should be used as a complementary analysis to other Alpine Realty'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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
Alpine Realty technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.