DSP Banking (India) Market Value


INR 10.24  0.01  0.1%   

DSP Banking's market value is the price at which a share of DSP Banking stock trades on a public exchange. It measures the collective expectations of DSP Banking PSU investors about the entity's future performance. With this module, you can estimate the performance of a buy and hold strategy of DSP Banking PSU and determine expected loss or profit from investing in DSP Banking over a given investment horizon. Please continue to DSP Banking Correlation, DSP Banking Volatility and DSP Banking Alpha and Beta module to complement your research on DSP Banking.

Please note, there is a significant difference between DSP Banking's value and its price as these two are different measures arrived at by different means. Investors typically determine DSP Banking value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, DSP Banking'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.

DSP Banking '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 DSP Banking's fund 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 DSP Banking.
No Change 0.00  0.0 
In 2 months and 1 day
If you would invest  0.00  in DSP Banking on June 20, 2022 and sell it all today you would earn a total of 0.00 from holding DSP Banking PSU or generate 0.0% return on investment in DSP Banking over 60 days. The investment objective of the Scheme is to seek to generate income and capital appreciation by primarily investing in ... More

DSP Banking 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 DSP Banking's fund 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 DSP Banking PSU upside and downside potential and time the market with a certain degree of confidence.

DSP Banking Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for DSP Banking's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as DSP Banking's standard deviation. In reality, there are many statistical measures that can use DSP Banking historical prices to predict the future DSP Banking's volatility.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of DSP Banking'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 DSP Banking in the context of predictive analytics.
LowEstimated ValueHigh
LowReal ValueHigh
LowNext ValueHigh
Band Projection (param)
LowerMiddle BandUpper
Please note, it is not enough to conduct a financial or market analysis of a single entity such as DSP Banking. Your research has to be compared to or analyzed against DSP Banking's peers to derive any actionable benefits. When done correctly, DSP Banking's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in DSP Banking PSU.

DSP Banking PSU Backtested Returns

We consider DSP Banking very steady. DSP Banking PSU secures Sharpe Ratio (or Efficiency) of 0.28, which denotes the fund had 0.28% of return per unit of risk over the last 3 months. Our philosophy in predicting the volatility of a fund is to use all available market data together with fund-specific technical indicators that cannot be diversified away. We have found twenty technical indicators for DSP Banking PSU, which you can use to evaluate the future volatility of the entity. Please confirm DSP Banking PSU Mean Deviation of 0.0613, coefficient of variation of 679.61, and Downside Deviation of 0.1608 to check if the risk estimate we provide is consistent with the expected return of 0.0256%.
The fund shows a Beta (market volatility) of 0.0, which means not very significant fluctuations relative to the market. Let's try to break down what 0P0000ZKLQ's beta means in this case. the returns on MARKET and DSP Banking are completely uncorrelated. Although it is important to respect DSP Banking PSU historical returns, it is better to be realistic regarding the information on the equity's current trending patterns. The philosophy in predicting future performance of any fund is to evaluate the business as a whole together with its past performance, including all available fundamental and technical indicators. By evaluating DSP Banking PSU technical indicators, you can now evaluate if the expected return of 0.0256% will be sustainable into the future.



Very good predictability

DSP Banking PSU has very good predictability. Overlapping area represents the amount of predictability between DSP Banking time series from 20th of June 2022 to 20th of July 2022 and 20th of July 2022 to 19th of August 2022. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of DSP Banking PSU price movement. The serial correlation of 0.84 indicates that around 84.0% of current DSP Banking price fluctuation can be explain by its past prices.
Correlation Coefficient0.84
Spearman Rank Test0.94
Residual Average0.0
Price Variance0.0

DSP Banking PSU lagged returns against current returns

Autocorrelation, which is DSP Banking fund'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 DSP Banking's fund expected returns. We can calculate the autocorrelation of DSP Banking returns to help us make a trade decision. For example, suppose you find that DSP Banking fund 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   

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

DSP Banking Lagged Returns

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

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 DSP Banking 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, DSP Banking's short interest history, or implied volatility extrapolated from DSP Banking options trading.

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Please continue to DSP Banking Correlation, DSP Banking Volatility and DSP Banking Alpha and Beta module to complement your research on DSP Banking. Note that the DSP Banking PSU information on this page should be used as a complementary analysis to other DSP Banking's 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.

Other Tools for 0P0000ZKLQ Fund

When running DSP Banking PSU price analysis, check to measure DSP Banking'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 DSP Banking is operating at the current time. Most of DSP Banking's value examination focuses on studying past and present price action to predict the probability of DSP Banking's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move DSP Banking's price. Additionally, you may evaluate how the addition of DSP Banking to your portfolios can decrease your overall portfolio volatility.
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