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Group:MMT84i
Beknazarov Shaxzod
1.Analyze the bond rates of commercial banks based on the data of the RSE "Toshkent" for the current year
2.Technical Analysis Indicators
1)The total volume of trade at RSE “Toshkent” for the first half of 2022 equaled to 3.34trln UZS which is an absolute high record volume and 3.7 times more than the same period of 2021. Record high volume was achieved mainly due to M&A deals with KPBA and OHSM.
The total number of transactions in 1H 2022 reached 40 885 which is by 24.6% more than in 1H2021.
The market capitalization of the listed companies at the RSE “Toshkent” reached 48.5trln UZS which is less than the previous year's level by 1.4% due to some delistings and decreased prices for significant big companies on the low liquidity backgraund. Free float by our estimation is about 3.4trln UZS ($313.1mln).

Total market capitalization Total volume of trade and number of deals in 2018-1H2022 Source: RSE Toshkent, Calculations: Avesta Investment Group As it was indicated, the main reason for the record high turnover is the M&A activity with some two companies, were incvestments received from the Uzbek native Russian tycoon Mr.Alisher Usmanov: - In January, Finance TCI LLC (100% owned by USM) announced that it became the owner of 32,986,653 shares or 8.33% of the equity of JSC Kapitalbank (KPBA), where the affiliated company Telecominvest also owns 230,906,575 shares or 50% of equity.
Later in March USM announced that shares were sold to a group of private investors among managers of the affiliated companies; - In January, Akkermann Cement LLC became the owner of 4,837,843 ordinary and 2,133 preferred shares, or 98.576% of the equity of JSC Ohangaronsement (OHSM). Ohangaronsement (OHSM) was purchased for almost 1.9trln UZS ($175.4mln).
The company is valued at x1.22BV, x6,93 EBIT, and x8.76 P/E according to 9M2021 reporting. The company finalized the construction of a new production line, so financial indicators in the future may improve significantly. Totally, the deals, which might be considered as an M&A transactions, formed more than 94% of the turnover



2..Technical analysis indicators are measures used to predict changes in the price of a security price based on price, market sentiment, or flow of funds. In essence, they try to establish how potential changes in market forces (supply and demand) might impact the price of a security.
Technical analysis is a broad term we use when we’re examining market data to try and predict future price trends. An important part of any trader's technical strategy is the use of technical indicators..
Indicators in technical analysis extend the capabilities of classic price charts, and some traders also use them to complement price action. However, one of the disadvantages of price action is the possibility of different interpretations of price patterns and the need to have some experience in reading charts. This is also why indicators are very common among beginners and less experienced traders.
Indicators are essentially mathematical functions applied to the price of an asset or trading volume. There are many different indicators, but in reality, none can clearly predict the future development of the price. They are merely derivations of the price, which in most cases are lagged. However, a well-chosen and tested indicator consistent with the chosen strategy can be quite a powerful tool in the hands of an experienced trader, which can help to identify the trend better or to determine a more appropriate entry and exit price.
Even in the case of indicators, too much of anything is bad for you. Some novice traders tend to overcrowd their chart with many different indicators in their search for the perfect strategy. Trying to find a solution that will only give profitable signals can lead to a cluttered chart that is virtually impossible to read and often offers contradictory information.
Technical indicators are mathematically derived representations of price, volume, to detect price movement of a security. One of the examples of technical indicators is the moving average which is used to identify the trend of securities.
Moving average is the average of the specified data field such as price for a given set of consecutive periods. As new data becomes available, the average of the data is computed by dropping the oldest value and adding the latest one.
Let’s say you have the daily price data of a security and you need to calculate the moving average with period 5.



The first four values are NaN as you are calculating the moving average for the 5-day moving period. The first moving average is calculated for the ‘2021-05-14’, which is the average of the last five day prices from ‘2021-05-10’ to ‘2021-05-13’. Similarly, the moving average for ‘2021-05-17’ is the average of prices from ‘2021-05-11’ to ‘2021-05-14’.
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