Budapest (Hungary) Market Value
| BUX Index | 57,878 531.74 0.93% |
| Symbol | Budapest |
Budapest '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 Budapest's index 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 Budapest.
| 11/01/2023 |
| 12/01/2023 |
If you would invest 0.00 in Budapest on November 1, 2023 and sell it all today you would earn a total of 0.00 from holding Budapest SE or generate 0.0% return on investment in Budapest over 30 days.
Budapest 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 Budapest's index 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 Budapest SE upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8743 | |||
| Information Ratio | 0.0089 | |||
| Maximum Drawdown | 4.38 | |||
| Value At Risk | (1.07) | |||
| Potential Upside | 1.41 |
Budapest Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Budapest's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Budapest's standard deviation. In reality, there are many statistical measures that can use Budapest historical prices to predict the future Budapest's volatility.| Risk Adjusted Performance | 0.0176 | |||
| Total Risk Alpha | 0.0074 | |||
| Sortino Ratio | 0.0086 |
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Budapest'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. Please use the tools below to analyze the current value of Budapest in the context of predictive analytics.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Budapest. Your research has to be compared to or analyzed against Budapest's peers to derive any actionable benefits. When done correctly, Budapest's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Budapest SE.
Budapest SE Backtested Returns
Budapest SE secures Sharpe Ratio (or Efficiency) of 0.0789, which signifies that the index had 0.0789% of return per unit of standard deviation over the last 3 months. Our philosophy in foreseeing the volatility of an index is to use all available market data together with index-specific technical indicators that cannot be diversified away. We have found twenty-five technical indicators for Budapest SE, which you can use to evaluate the future volatility of the entity. The index shows a Beta (market volatility) of 0.0, which signifies not very significant fluctuations relative to the market. the returns on MARKET and Budapest are completely uncorrelated. By analyzing Budapest SE technical indicators, you can presently evaluate if the expected return of 0.0665% will be sustainable into the future.
Auto-correlation | 0.10 |
Insignificant predictability
Budapest SE has insignificant predictability. Overlapping area represents the amount of predictability between Budapest time series from 1st of November 2023 to 16th of November 2023 and 16th of November 2023 to 1st of December 2023. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Budapest SE price movement. The serial correlation of 0.1 indicates that less than 10.0% of current Budapest price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.1 | |
| Spearman Rank Test | 0.44 | |
| Residual Average | 0.0 | |
| Price Variance | 338.1 K |
Budapest SE lagged returns against current returns
Autocorrelation, which is Budapest index'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 Budapest's index expected returns. We can calculate the autocorrelation of Budapest returns to help us make a trade decision. For example, suppose you find that Budapest index 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 stock movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Budapest 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 Budapest index is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Budapest index is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Budapest index over time.
Current vs Lagged Prices |
| Timeline |
Budapest Lagged Returns
When evaluating Budapest's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Budapest index have on its future price. Budapest 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, Budapest autocorrelation shows the relationship between Budapest index current value and its past values and can show if there is a momentum factor associated with investing in Budapest SE.
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 Budapest 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, Budapest's short interest history, or implied volatility extrapolated from Budapest options trading.
Pair Trading with Budapest
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 Budapest 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 Budapest will appreciate offsetting losses from the drop in the long position's value.Moving together with Budapest Index
The ability to find closely correlated positions to Budapest could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Budapest 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 Budapest - 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 Budapest SE to buy it.
The correlation of Budapest is a statistical measure of how it moves in relation to other equities. 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 Budapest moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Budapest SE 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 Budapest 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 Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any index could be tightly coupled with the direction of predictive economic indicators such as signals in gross domestic product. You can also try the Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.
Complementary Tools for Budapest Index analysis
When running Budapest's price analysis, check to measure Budapest'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 Budapest is operating at the current time. Most of Budapest's value examination focuses on studying past and present price action to predict the probability of Budapest's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Budapest's price. Additionally, you may evaluate how the addition of Budapest to your portfolios can decrease your overall portfolio volatility.
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Budapest technical index 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, index market cycles, or different charting patterns.