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Stock Prediction using ARMA

Stock Prediction using ARMA

Derivative market has an important role to play in economic development of a country. Change in exchange rates, interest rates and stock prices of different financial markets have increased the financial risk to the corporate world. Adverse changes in the macroeconomic factors have even threatened the very survival of business world. It is therefore necessary to develop a set of new financial instruments known as derivatives in the Indian financial markets, to manage such risk. The objectives of these instruments is to provide commitments to prices for future dates for giving protection against adverse movements in future prices, in order to reduce the extent of financial risks. This paper traces the growth and current position of India derivative market the present study is an effort to analyze derivative trading in India. It is an effort to demonstrate the growth and expansion of financial derivative of NSE in India the time period i,e 2010-2011 to 2017-18.The market turnover has grown from Rs.17663664.57 Cr. in 2009-2010 to 1163539816.124 Cr. in 2017-18.
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Stock Prediction using ARMA

Stock Prediction using ARMA

Indebtedness in private sector multiplied sharply and became major source of vulnerability in many EMDE nations. Debt rollover risks remains controlled in short term but in 2017 it increased as large debt stock compounded due to refinancing. Credit booms in the EMDEs were accompanied by the growing current account deficits and faster real GDP growth. During the boom period credit to GDP ratios rises significantly above non events. Inflation rises, growing gap of current account balance and growth increases significantly than non-events. Commodity exporting and importing in EMDEs nations diverged appreciably over the past three forecasting cycles. During the period exporter growths have deteriorated but importers growths are stable. Policy uncertainty has increased among advance economies and Europe is highly affected by it. In large emerging markets like China policy uncertainty has increased and in Russia it is elevated despite of economic decline. Most of the banks in Euro area are facing rising credit risks and very low interest rates and fragile liquidity conditions could amplify volatility if market stressed further. Due to growing economic uncertainty and crisis, cross border banking flows have diminished limiting the propagation of global financial stress. In advance economies, low inflation and marginal growth have adversely impacted the debt dynamics despite of consolidation efforts. To arrest the economic downfall, structural reforms implementations became impossible, especially in the economies which are severely affected by the crises. Most of the EMDE nation‟s are dependent on commodity exports, with declined revenues government spending on education declined much below than advance economies and gender gaps in enrolment increases.
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Stock Prediction using ARMA

Stock Prediction using ARMA

National and International brands of products are available in malls 1.000 .756 Consumers visit the malls mainly for entertainment rather than for purchase 1.000 .457 Purchasing pr[r]

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Stock Prediction using ARMA

Stock Prediction using ARMA

In single-brand retail, FDI up to 51 per cent is allowed, subject to Foreign Investment Promotion Board (FIPB) approval and subject to the conditions mentioned in Press[r]

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Stock Prediction using ARMA

Stock Prediction using ARMA

This study shows that the only 2% of the people who did not purchase product from online site and 98% people who purchased product from online sites, because [r]

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Stock Prediction using ARMA

Stock Prediction using ARMA

Indirect Tax applicable throughout India which replaced multiple taxes (like Service Tax, Vat Tax) levied by Central & State Governments of India.. Before Introducing[r]

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Stock Prediction using ARMA

Stock Prediction using ARMA

Mounting concern for global environment and the development of international standards for environmental protection organizations are integrating and linking their ma[r]

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Stock Prediction using ARMA

Stock Prediction using ARMA

3. Doubtful assets: These are the assets which have remained NPAs for a period exceeding 12 months and which are not considered as a loss advance. Banks have to provide 100 percent of the unsecured portion of the outstanding advance after netting realized amount in respect of DICGC scheme (Deposit Insurance and Credit Guarantee Corporation) and realized/realizable amount of guarantee cover under ECGC (Export Credit Guarantee Corporation) schemes. Period for which the Provision requirements (%) advance has remained in Doubtful category Up to one year 20 % One to three years 30 % More than three years I. Outstanding stock of NPAs - 60 percent with effect from as on March31,2004 March31,2005 -75 percent with effect from March 31, 2006. -100 percent with effect from March31,2007 II. Advances classified as 100 percent with effect from doubtful for more than March 31, 2005 three years on or after April1, 2004.
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Stock Prediction using ARMA

Stock Prediction using ARMA

That said, there will be personnel from competitors and/or best in class companies who will be willing to participate in the survey to know the results as well as for the improveme[r]

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Stock Prediction using ARMA

Stock Prediction using ARMA

If one has all these aspects successfully implemented in the organization, it would ultimately lead to better individual and organizational performance [2].The mana[r]

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Stock Prediction using ARMA

Stock Prediction using ARMA

During the reengineering of the processes, organizations should stress on their planning as well as strategies because a strong correlation was found between organizatio[r]

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Stock Prediction using ARMA

Stock Prediction using ARMA

Participation of women in Employment areas like Police Department, Public utilities like metro transport, Airline pilots and space travel have boosted the image of women[r]

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Stock Prediction using ARMA

Stock Prediction using ARMA

Weather and climate information is useful in a variety of areas including agriculture, tourism, transportation both land, sea and air. For that, up to date weather and climate data and its forecasting are essential. This study aims to create rainfall modeling with Vector Auto Regressive (VAR) using circular data and linear data. The data used comes from the station climatology Darmaga Bogor period 2006-2017. The VAR model (2) of the rainfall variables in the t-month is affected by the t-1 moisture air moisture, the t-2 moisture air and the air temperature at t- 2. This VAR model (2) is used to forecast the next period. The mean absolute percentage error (MAPE) VAR (2) obtained was 42.18. The novelty of the study is (1) VAR modeling for rainfall prediction, (2) Use of circular data for wind direction data.
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Stock Prediction using ARMA

Stock Prediction using ARMA

The Australian National Audit Office (ANAO) undertook a performance audit of the country’s Department of Defence and presented a report titled ‘Performance Management of the Defence Inventory’ to the Parliament in October 1997. The ANAO observed that the level of operating stocks was far too high, which as per the audit report, was a reflection of ‘Just in Case’ culture. Scant attention is paid to the overall management of the performance and costs of the supply chain, including inventory carrying costs. Defence managers are not provided with adequate information or incentives to ensure that their decisions are based upon considerations of efficiency and effectiveness of the total supply chain. Considerable one-off savings and annual savings could be accrued through adoption of commercial management practices such as Vendor-held stock. Similarly, the ANAO noted that the Defence would benefit from focusing on the analysis and management of each component of procurement lead times. Though there have been a few worthwhile but isolated attempts to improve the management practices applied to the defence supply chain, a cultural change is needed to bring the defence practices closer to those identified as best practice.
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Stock Prediction using ARMA

Stock Prediction using ARMA

Furthermore, feature-based mosaicing algorithm proposed by Bind, Muduli and Pati in [68] used a combination of SIFT and SURF based feature detector to detect interest poin[r]

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Stock Prediction using ARMA

Stock Prediction using ARMA

The present study is basically based on cross- sectional data and has considered seven variable for this research, including Funding of the Startup, gender, Kind of edu[r]

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Stock Prediction using ARMA

Stock Prediction using ARMA

simulate to see the asymptotic distribution of an estimator for periodic function multiplied by power function trend of a non-homogeneous Poisson process by using a unif[r]

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Stock Prediction using ARMA

Stock Prediction using ARMA

Assuming that the success rate is independent of transaction response time, based on the above conclusion, we use Naive Bayesian classifiers to classify the data to determine[r]

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Stock Prediction using ARMA

Stock Prediction using ARMA

in to the poverty cycle on a future day. Though it is the reality, the level of attention paid to this phenomenon is insufficient. Not only that, but also some families that are not poor at present may become poor in future due to various reasons. (kumari.P. W. N. A. & kumarasinghe.P.J) From the concept of micro finance it is expect to poverty alleviation from the country. If the concept is successful, people may improve their current living standard. Standard of living can be thought of as a measure of the quality of life or level of material prosperity enjoyed by individuals, a specific demographic group, or a geographic region such as a country. In economics, the standard of living is usually used to determine the relative prosperity of the population of an entire country and is often compared to the standard of living that populations of other countries enjoy As citied in Chambers and Conway (1992), a livelihood is defined as comprising the capabilities, assets required for a means of living citing (Carney, 1998,:4). On the other hand the researcher cited Rakodi (2002:11) articulates the following household livelihood assets, namely human, social, political, physical, financial and natural capital. At house, community and societal levels, the assets available are said to constitute a stock of capital. These include human capital, social capital (networks,
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Stock Prediction using ARMA

Stock Prediction using ARMA

Quality Matters‘ 8 general standards that were used on designing blended learning module E-Commerce to make it student‘s centric are Course Overview and Introduction, Le[r]

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