Orderyoyo (Denmark) Market Value

YOYO Stock   7.75  0.05  0.65%   
Orderyoyo's market value is the price at which a share of Orderyoyo trades on a public exchange. It measures the collective expectations of Orderyoyo AS investors about its performance. Orderyoyo is selling at 7.75 as of the 23rd of November 2024; that is 0.65 percent up since the beginning of the trading day. The stock's open price was 7.7.
With this module, you can estimate the performance of a buy and hold strategy of Orderyoyo AS and determine expected loss or profit from investing in Orderyoyo over a given investment horizon. Check out Your Current Watchlist to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
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Orderyoyo '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 Orderyoyo's stock 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 Orderyoyo.
0.00
12/29/2023
No Change 0.00  0.0 
In 10 months and 27 days
11/23/2024
0.00
If you would invest  0.00  in Orderyoyo on December 29, 2023 and sell it all today you would earn a total of 0.00 from holding Orderyoyo AS or generate 0.0% return on investment in Orderyoyo over 330 days.

Orderyoyo 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 Orderyoyo's stock 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 Orderyoyo AS upside and downside potential and time the market with a certain degree of confidence.

Orderyoyo Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Orderyoyo's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Orderyoyo's standard deviation. In reality, there are many statistical measures that can use Orderyoyo historical prices to predict the future Orderyoyo's volatility.

Orderyoyo AS Backtested Returns

Orderyoyo AS maintains Sharpe Ratio (i.e., Efficiency) of -0.0217, which implies the firm had a -0.0217% return per unit of risk over the last 3 months. Orderyoyo AS exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Orderyoyo's Coefficient Of Variation of (3,885), variance of 5.29, and Risk Adjusted Performance of (0.01) to confirm the risk estimate we provide. The company holds a Beta of -0.29, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Orderyoyo are expected to decrease at a much lower rate. During the bear market, Orderyoyo is likely to outperform the market. At this point, Orderyoyo AS has a negative expected return of -0.0499%. Please make sure to check Orderyoyo's jensen alpha, treynor ratio, value at risk, as well as the relationship between the total risk alpha and maximum drawdown , to decide if Orderyoyo AS performance from the past will be repeated at some point in the near future.

Auto-correlation

    
  -0.32  

Poor reverse predictability

Orderyoyo AS has poor reverse predictability. Overlapping area represents the amount of predictability between Orderyoyo time series from 29th of December 2023 to 11th of June 2024 and 11th of June 2024 to 23rd 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 Orderyoyo AS price movement. The serial correlation of -0.32 indicates that nearly 32.0% of current Orderyoyo price fluctuation can be explain by its past prices.
Correlation Coefficient-0.32
Spearman Rank Test-0.1
Residual Average0.0
Price Variance0.05

Orderyoyo AS lagged returns against current returns

Autocorrelation, which is Orderyoyo stock'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 Orderyoyo's stock expected returns. We can calculate the autocorrelation of Orderyoyo returns to help us make a trade decision. For example, suppose you find that Orderyoyo has exhibited high autocorrelation historically, and you observe that the stock 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  

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

Orderyoyo Lagged Returns

When evaluating Orderyoyo's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Orderyoyo stock have on its future price. Orderyoyo 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, Orderyoyo autocorrelation shows the relationship between Orderyoyo stock current value and its past values and can show if there is a momentum factor associated with investing in Orderyoyo AS.
   Regressed Prices   
       Timeline  

Pair Trading with Orderyoyo

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 Orderyoyo 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 Orderyoyo will appreciate offsetting losses from the drop in the long position's value.

Moving together with Orderyoyo Stock

  0.67NOVO-B Novo Nordisk ASPairCorr

Moving against Orderyoyo Stock

  0.67DSV DSV Panalpina ASPairCorr
  0.52MAERSK-B AP MllerPairCorr
  0.49MAERSK-A AP MllerPairCorr
The ability to find closely correlated positions to Orderyoyo could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Orderyoyo 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 Orderyoyo - 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 Orderyoyo AS to buy it.
The correlation of Orderyoyo 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 Orderyoyo moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Orderyoyo AS 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 Orderyoyo 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.
Pair CorrelationCorrelation Matching