Berkshire Hathaway Cdr Stock Market Value
| BRK Stock | 36.06 0.06 0.17% |
| Symbol | Berkshire |
Berkshire Hathaway '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 Berkshire Hathaway'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 Berkshire Hathaway.
| 12/07/2022 |
| 11/26/2024 |
If you would invest 0.00 in Berkshire Hathaway on December 7, 2022 and sell it all today you would earn a total of 0.00 from holding Berkshire Hathaway CDR or generate 0.0% return on investment in Berkshire Hathaway over 720 days. Berkshire Hathaway is related to or competes with NVIDIA CDR, Apple, Microsoft Corp, Amazon CDR, Meta Platforms, Tesla, and Alphabet. Berkshire Hathaway is entity of Canada. It is traded as Stock on NEO exchange. More
Berkshire Hathaway 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 Berkshire Hathaway'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 Berkshire Hathaway CDR upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.02 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 7.22 | |||
| Value At Risk | (1.72) | |||
| Potential Upside | 1.45 |
Berkshire Hathaway Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Berkshire Hathaway's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Berkshire Hathaway's standard deviation. In reality, there are many statistical measures that can use Berkshire Hathaway historical prices to predict the future Berkshire Hathaway's volatility.| Risk Adjusted Performance | 0.0719 | |||
| Jensen Alpha | 0.0188 | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.1532 |
Berkshire Hathaway CDR Backtested Returns
As of now, Berkshire Stock is very steady. Berkshire Hathaway CDR secures Sharpe Ratio (or Efficiency) of 0.0397, which signifies that the company had a 0.0397% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Berkshire Hathaway CDR, which you can use to evaluate the volatility of the firm. Please confirm Berkshire Hathaway's Mean Deviation of 0.7466, risk adjusted performance of 0.0719, and Downside Deviation of 1.02 to double-check if the risk estimate we provide is consistent with the expected return of 0.044%. Berkshire Hathaway has a performance score of 3 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.58, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Berkshire Hathaway's returns are expected to increase less than the market. However, during the bear market, the loss of holding Berkshire Hathaway is expected to be smaller as well. Berkshire Hathaway CDR right now shows a risk of 1.11%. Please confirm Berkshire Hathaway CDR semi variance, rate of daily change, and the relationship between the value at risk and kurtosis , to decide if Berkshire Hathaway CDR will be following its price patterns.
Auto-correlation | 0.77 |
Good predictability
Berkshire Hathaway CDR has good predictability. Overlapping area represents the amount of predictability between Berkshire Hathaway time series from 7th of December 2022 to 2nd of December 2023 and 2nd of December 2023 to 26th 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 Berkshire Hathaway CDR price movement. The serial correlation of 0.77 indicates that around 77.0% of current Berkshire Hathaway price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.77 | |
| Spearman Rank Test | 0.75 | |
| Residual Average | 0.0 | |
| Price Variance | 5.76 |
Berkshire Hathaway CDR lagged returns against current returns
Autocorrelation, which is Berkshire Hathaway 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 Berkshire Hathaway's stock expected returns. We can calculate the autocorrelation of Berkshire Hathaway returns to help us make a trade decision. For example, suppose you find that Berkshire Hathaway 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 |
Berkshire Hathaway 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 Berkshire Hathaway stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Berkshire Hathaway stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Berkshire Hathaway stock over time.
Current vs Lagged Prices |
| Timeline |
Berkshire Hathaway Lagged Returns
When evaluating Berkshire Hathaway's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Berkshire Hathaway stock have on its future price. Berkshire Hathaway 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, Berkshire Hathaway autocorrelation shows the relationship between Berkshire Hathaway stock current value and its past values and can show if there is a momentum factor associated with investing in Berkshire Hathaway CDR.
Regressed Prices |
| Timeline |
Pair Trading with Berkshire Hathaway
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 Berkshire Hathaway 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 Berkshire Hathaway will appreciate offsetting losses from the drop in the long position's value.Moving against Berkshire Stock
The ability to find closely correlated positions to Berkshire Hathaway could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Berkshire Hathaway 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 Berkshire Hathaway - 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 Berkshire Hathaway CDR to buy it.
The correlation of Berkshire Hathaway 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 Berkshire Hathaway moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Berkshire Hathaway CDR 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 Berkshire Hathaway 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.Other Information on Investing in Berkshire Stock
Berkshire Hathaway financial ratios help investors to determine whether Berkshire Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Berkshire with respect to the benefits of owning Berkshire Hathaway security.