Stone Ridge 2054 Etf Market Value
| LFAN Etf | 15.32 0.04 0.26% |
| Symbol | Stone |
The market value of Stone Ridge 2054 is measured differently than its book value, which is the value of Stone that is recorded on the company's balance sheet. Investors also form their own opinion of Stone Ridge's value that differs from its market value or its book value, called intrinsic value, which is Stone Ridge's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Stone Ridge's market value can be influenced by many factors that don't directly affect Stone Ridge's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Stone Ridge's value and its price as these two are different measures arrived at by different means. Investors typically determine if Stone Ridge is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Stone Ridge'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.
Stone Ridge '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 Stone Ridge's etf 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 Stone Ridge.
| 02/01/2024 |
| 11/27/2024 |
If you would invest 0.00 in Stone Ridge on February 1, 2024 and sell it all today you would earn a total of 0.00 from holding Stone Ridge 2054 or generate 0.0% return on investment in Stone Ridge over 300 days. Stone Ridge is related to or competes with US Treasury, Tidal Trust, Franklin Liberty, SPDR Bloomberg, US Treasury, Vanguard Extended, and Bondbloxx ETF. More
Stone Ridge 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 Stone Ridge's etf 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 Stone Ridge 2054 upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.39) | |||
| Maximum Drawdown | 2.49 | |||
| Value At Risk | (1.11) | |||
| Potential Upside | 0.9241 |
Stone Ridge Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Stone Ridge's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Stone Ridge's standard deviation. In reality, there are many statistical measures that can use Stone Ridge historical prices to predict the future Stone Ridge's volatility.| Risk Adjusted Performance | (0.12) | |||
| Jensen Alpha | (0.11) | |||
| Total Risk Alpha | (0.18) | |||
| Treynor Ratio | (0.74) |
Stone Ridge 2054 Backtested Returns
Stone Ridge 2054 owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.15, which indicates the etf had a -0.15% return per unit of risk over the last 3 months. Stone Ridge 2054 exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Stone Ridge's Coefficient Of Variation of (657.21), variance of 0.2979, and Risk Adjusted Performance of (0.12) to confirm the risk estimate we provide. The entity has a beta of 0.13, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Stone Ridge's returns are expected to increase less than the market. However, during the bear market, the loss of holding Stone Ridge is expected to be smaller as well.
Auto-correlation | 0.00 |
No correlation between past and present
Stone Ridge 2054 has no correlation between past and present. Overlapping area represents the amount of predictability between Stone Ridge time series from 1st of February 2024 to 30th of June 2024 and 30th of June 2024 to 27th 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 Stone Ridge 2054 price movement. The serial correlation of 0.0 indicates that just 0.0% of current Stone Ridge price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Stone Ridge 2054 lagged returns against current returns
Autocorrelation, which is Stone Ridge etf'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 Stone Ridge's etf expected returns. We can calculate the autocorrelation of Stone Ridge returns to help us make a trade decision. For example, suppose you find that Stone Ridge has exhibited high autocorrelation historically, and you observe that the etf 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 |
Stone Ridge 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 Stone Ridge etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Stone Ridge etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Stone Ridge etf over time.
Current vs Lagged Prices |
| Timeline |
Stone Ridge Lagged Returns
When evaluating Stone Ridge's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Stone Ridge etf have on its future price. Stone Ridge 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, Stone Ridge autocorrelation shows the relationship between Stone Ridge etf current value and its past values and can show if there is a momentum factor associated with investing in Stone Ridge 2054.
Regressed Prices |
| Timeline |
Pair Trading with Stone Ridge
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 Stone Ridge 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 Stone Ridge will appreciate offsetting losses from the drop in the long position's value.Moving against Stone Etf
| 0.78 | JPM | JPMorgan Chase Sell-off Trend | PairCorr |
| 0.75 | MEME | Roundhill Investments | PairCorr |
| 0.73 | RSPY | Tuttle Capital Management | PairCorr |
| 0.72 | CVX | Chevron Corp Fiscal Year End 7th of February 2025 | PairCorr |
| 0.71 | BAC | Bank of America Aggressive Push | PairCorr |
The ability to find closely correlated positions to Stone Ridge could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Stone Ridge 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 Stone Ridge - 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 Stone Ridge 2054 to buy it.
The correlation of Stone Ridge 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 Stone Ridge moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Stone Ridge 2054 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 Stone Ridge 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 Stone Ridge Correlation, Stone Ridge Volatility and Stone Ridge Alpha and Beta module to complement your research on Stone Ridge. You can also try the Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
Stone Ridge technical etf 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, etf market cycles, or different charting patterns.