• Estimation of VaR and ConVaR for the stock price of the Kazakhstani company

      The last decades the world economy regularly falls into this vortex of financial crises that have affected each country. It almost led to the collapse of the existing financial system, due to this fact, experts in mathematical and economic modelling have become to use methods for controlling the losses of the asset and portfolio in the financial world (Lechner, L. A., and Ovaert, T. C. (2010). There is an increasing trend towards mathematical modelling of an economic process to predict the market behaviour and an assessment of its sustainability (ibid). Having without necessary attention to control and assess properly threats, everybody understands that it is able to trigger tremendous cost in the development of the organisation or even go bankrupt.


      Value at Risk (VaR) has eventually been a regular approach to catch the risk among institutions in the finance sector and its regulator (Engle, R., and Manganelli S., 2004). The model is originally applied to estimate the loss value in the investment portfolio within a given period of time as well as at a given probability of occurrence. Besides the fact of using VaR in the financial sector, there are a lot of examples of estimation of value at risk in different area such as anticipating the medical staff to develop the healthcare resource management Zinouri, N. (2016). Despite its applied primitiveness in a real experiment, the model consists of drawbacks in evaluation, (ibid).


      The goal of the report is a description of the existing VaR model including one of its upgrade versions, namely, Conditional Value at Risk (CVaR). In the next section and section 3, the evaluation algorithm and testing of the model are explained. For a vivid illustration, the expected loss is estimated on the asset of one of the Kazakhstani company trading in the financial stock exchange market in a long time period. The final sections 4 and 5 discuss and demonstrate the findings of the research work.

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    • Notifications: action required for take profit / stop loss. In case your Broker doesn't support those orders

        There is a Russian Broker — Tinkoff Bank. Now here is the problem: the broker doesn't support take profit and stop loss orders. At all. If you want to feel more convenient while trading, then you need some workaround for this situation, until Tinkoff Bank developers finally release those orders as the killer feature. In the article, I will show you my workaround.
        update:2019-03-22, the Broker published platform 3.0.0 (a major update) in Google Play. The changelog features take profit/stop loss orders
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      • Implementation of the digital mobile-only bank in Kazakhstan

        In today’s world, Kazakhstan carries out significant improvement work for the economic situation of the country. As part of a commission from Head of State, National Bank of Kazakhstan has revoked licenses of three commercial bank pursued high-risk policy (NBK, 2017). Furthermore, over the past 10 years, 7 second-tier banks have gone into liquidation as well as the liabilities of the commercial banks as a whole have increased by 70 per cent or 5.5 trillion Tenge (Hereinafter — KZT). NBK plans to continue treatment the real economy sector, withdrawal of financial institution, restructuring its assets to well-balanced entities.

        On the other side of the world, the digital and mobile banks namely, Starling bank, Monzo, N26 are becoming increasingly popular among society in the United Kingdom. As a vivid illustration, Starling Bank has increased considerably the number of customers for 8 times (up to 400 000 people) at the end of the 2018 year (Starling Bank, 2019). At the same time, one million clients have joined and used Monzo’s services (Monzo). Such tendency establishes substantial competition for all players including high-street banks in the payments market.

        In consequences, the main object of the paper is identification the advantages of digital bank and illumination capabilities to deploy analogous mobile bank in Kazakhstani real financial sector.
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      • Building a Private Currency Service Using Exonum

          Zero-knowledge proofs/arguments are an emerging cryptographic technology that promises to bring us closer to the Holy Grail of blockchain: providing data privacy and auditability.

          Potential applications for zero-knowledge include, but are not limited to:


          Another application for zero-knowledge proofs is helping blockchains scale. ZKPs allow for the “compressing” of computations for blockchain transactions without sacrificing security.

          In this article, we describe how zero-knowledge (specifically, Bulletproofs) can be applied to build a privacy-focused service using Bitfury’s Exonum platform.

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        • How do technical indicators on stock market actually work?

            Anyone, who has ever been interested in stocks or cryptocurrencies has seen these additional lines on charts. You may have heard the opinions that they don’t work. But they greatly improve my trading ability, while displaying alot of important data. But how are they actually works? And to whom it can be useful?

            You should definitely read this if:

            1. You use them in day trading
            2. You are planning to write a trading bot
            3. If you want to implement a trading strategy or indicators by yourself


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