Vicinity Centres Stock Market Value
| CNRAF Stock | USD 1.26 0.00 0.00% |
| Symbol | Vicinity |
Vicinity Centres '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 Vicinity Centres' pink sheet 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 Vicinity Centres.
| 03/24/2024 |
| 04/23/2024 |
If you would invest 0.00 in Vicinity Centres on March 24, 2024 and sell it all today you would earn a total of 0.00 from holding Vicinity Centres or generate 0.0% return on investment in Vicinity Centres over 30 days. Vicinity Centres is related to or competes with Simon Property, Realty Income, Kimco Realty, Regency Centers, and Federal Realty. Vicinity Centres is one of Australias leading retail property groups More
Vicinity Centres 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 Vicinity Centres' pink sheet 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 Vicinity Centres upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.19) | |||
| Maximum Drawdown | 3.94 |
Vicinity Centres Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Vicinity Centres' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Vicinity Centres' standard deviation. In reality, there are many statistical measures that can use Vicinity Centres historical prices to predict the future Vicinity Centres' volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.16) | |||
| Treynor Ratio | 0.3007 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Vicinity Centres' 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.
Vicinity Centres Backtested Returns
Vicinity Centres owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0786, which indicates the firm had a -0.0786% return per unit of risk over the last 3 months. Vicinity Centres exposes sixteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Vicinity Centres' Risk Adjusted Performance of (0.04), coefficient of variation of (1,312), and Variance of 0.5441 to confirm the risk estimate we provide. The entity has a beta of -0.22, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Vicinity Centres are expected to decrease at a much lower rate. During the bear market, Vicinity Centres is likely to outperform the market. Vicinity Centres has an expected return of -0.0599%. Please make sure to validate Vicinity Centres kurtosis, day typical price, as well as the relationship between the treynor ratio and standard deviation , to decide if Vicinity Centres performance from the past will be repeated at some point in the near future.
Auto-correlation | 1.00 |
Perfect predictability
Vicinity Centres has perfect predictability. Overlapping area represents the amount of predictability between Vicinity Centres time series from 24th of March 2024 to 8th of April 2024 and 8th of April 2024 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 Vicinity Centres price movement. The serial correlation of 1.0 indicates that 100.0% of current Vicinity Centres price fluctuation can be explain by its past prices.
| Correlation Coefficient | 1.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Vicinity Centres lagged returns against current returns
Autocorrelation, which is Vicinity Centres pink sheet'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 Vicinity Centres' pink sheet expected returns. We can calculate the autocorrelation of Vicinity Centres returns to help us make a trade decision. For example, suppose you find that Vicinity Centres has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Vicinity Centres 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 Vicinity Centres pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Vicinity Centres pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Vicinity Centres pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Vicinity Centres Lagged Returns
When evaluating Vicinity Centres' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Vicinity Centres pink sheet have on its future price. Vicinity Centres 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, Vicinity Centres autocorrelation shows the relationship between Vicinity Centres pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Vicinity Centres.
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 Vicinity Centres 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, Vicinity Centres' short interest history, or implied volatility extrapolated from Vicinity Centres options trading.
Pair Trading with Vicinity Centres
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 Vicinity Centres 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 Vicinity Centres will appreciate offsetting losses from the drop in the long position's value.Moving together with Vicinity Pink Sheet
| 0.72 | O | Realty me Corp Financial Report 1st of May 2024 | PairCorr |
| 0.65 | REG | Regency Centers Financial Report 2nd of May 2024 | PairCorr |
Moving against Vicinity Pink Sheet
| 0.86 | ARM | Arm Holdings plc Buyout Trend | PairCorr |
| 0.82 | MUSA | Murphy USA Financial Report 7th of May 2024 | PairCorr |
| 0.78 | ALSN | Allison Transmission Earnings Call This Week | PairCorr |
| 0.78 | AZZ | AZZ Incorporated Financial Report 5th of July 2024 | PairCorr |
| 0.72 | UNBLF | WFD Unibail Rodamco | PairCorr |
The ability to find closely correlated positions to Vicinity Centres could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Vicinity Centres 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 Vicinity Centres - 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 Vicinity Centres to buy it.
The correlation of Vicinity Centres 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 Vicinity Centres moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Vicinity Centres 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 Vicinity Centres 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 Vicinity Centres Correlation, Vicinity Centres Volatility and Vicinity Centres Alpha and Beta module to complement your research on Vicinity Centres. Note that the Vicinity Centres information on this page should be used as a complementary analysis to other Vicinity Centres' 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 Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
Complementary Tools for Vicinity Pink Sheet analysis
When running Vicinity Centres' price analysis, check to measure Vicinity Centres' 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 Vicinity Centres is operating at the current time. Most of Vicinity Centres' value examination focuses on studying past and present price action to predict the probability of Vicinity Centres' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Vicinity Centres' price. Additionally, you may evaluate how the addition of Vicinity Centres to your portfolios can decrease your overall portfolio volatility.
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Vicinity Centres technical pink sheet 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, pink sheet market cycles, or different charting patterns.