scholarly journals Securities Analysis and Portfolio Management of Selected NSE Securities

2021 ◽  
pp. 540-543
Author(s):  
Prof. (Dr) Pramod Sharma
Keyword(s):  
Stock Market ◽  
Portfolio Management ◽  
Intrinsic Value ◽  
Technical Analysis ◽  
Future Price ◽  
Market Participants ◽  
Major Market ◽  
Price Trends ◽  
Indian Stock Market ◽  
A Company

“Technical Analysis is the study of data generated by the action of markets and by the behaviour and psychology of market participants and observers”: -Constitution of the market technicians Association Technical analysis is a completely different approach to stock market investing- it doesn’t try to find the intrinsic value of a company or try to find whether a share is mispriced or undervalued. "Technical analysis is the study of market action, primarily through the use of charts, for the purpose of forecasting future price trends. “A technical analyst is interested only in the price movements in the market. So, it is all about analysing the demand and supply or a price volume analysis. Technical analysis considers only the actual price behaviour of the market or instrument, based on the premise that price reflects all relevant factors before an investor becomes aware of them through other channels. These stock market indicators would help the investor to identify major market turning points. This paper examines the technical analysis of selected companies which helps to understand the price behaviour of the shares, the signals given by them and to assist investment decisions in the Indian stock Market.

MOMENTUM OSCILLATORS - A TOOL TO PREDICT STOCK PRICE BEHAVIOUR

2016 ◽  
Vol 12 (1) ◽  
Author(s):  
Shishir Kumar Gujrati
Keyword(s):  
Stock Price ◽  
Moving Average ◽  
Technical Analysis ◽  
Relative Strength ◽  
Future Price ◽  
Range Data ◽  
Strength Index ◽  
Price Trends ◽  
Past Data ◽  
Price Movements

Stock markets are always taken as the barometer of the economy. The price movement of their indices reflects every ups and downs of the economy. Although seem to be random, these price movements do follow a certain track which can be identified using appropriate tool over long range data. One such method is of Technical Analysis wherein future price trends are forecasted using past data. Momentum Oscillators are the important tools of technical analysis. The current paper aims to identify the previous price movements of sensex by using Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD) tools and also aims to check whether these tools are appropriate in forecasting the price trends or not.

scholarly journals Use of Technical Analysis Tools in Nepalese Stock Market

2018 ◽  
Vol 11 (1) ◽  
pp. 55-64
Author(s):  
Rashesh Vaidya
Keyword(s):  
Stock Market ◽  
Investment Decisions ◽  
Technical Analysis ◽  
Trade Volume ◽  
Market Participants ◽  
Support Level ◽  
Analysis Tools

This paper has attempted to find the interest of Nepalese investors, brokers and depository participants on the use the technical tools for the analysis of the stock market. The use of technical analysis in context to Nepal shows that the participants in the Nepalese stock market are highly interested on the use of new Hi-Lo price while making their investment decisions. Another interest was seen for trade volume indicators. The Nepalese stock market participants are not seen interested in using the resistance and support level followed by the pattern i.e. candlestick charts while analyzing the stock market trend.

scholarly journals Sequel outcome of automobile sector on account of covid – 19 through technical analysis

2021 ◽  
Vol 8 (2) ◽  
pp. 39-43
Author(s):  
Vivek Prabu M ◽  
Dharani K S
Keyword(s):  
Economic Development ◽  
Stock Market ◽  
Free Fall ◽  
Technical Analysis ◽  
Domestic Demand ◽  
Automotive Sector ◽  
Market Growth ◽  
Travel Restrictions ◽  
Private Transportation ◽  
Indian Stock Market

The COVID – 19 pandemic has deteriorated multiple facets of the stable functioning of economies of most countries. Social restrictions associated with the immediate response to the pandemic has curtailed dynamic functioning of many industries that buttress the economic development of countries. Performance of automotive industries was expected to nosedive following the travel restrictions. One of the major sources of profit for the automotive industries in India is their consumer base in countries like U. K, Germany, and China etc. Severity of the pandemic in these countries entailed trade regulations that propelled a negative trend in the market growth of Indian automotive industries. But the economy of automotive sector of India was saved from a free fall by the countering effect of the domestic demand in private transportation. This paper presents the technical analysis on the Maruti Suzuki Private Limited to measure the stock movement of the Automobile sector in the Indian Stock Market.

scholarly journals Research on Process of Listing and Working of IPO (Initial Public Offering)

2019 ◽  
Vol 8 (2S11) ◽  
pp. 3436-3439
Keyword(s):  
Public Sector ◽  
Stock Market ◽  
Initial Public Offering ◽  
Legal Status ◽  
Private Firm ◽  
Social Recognition ◽  
Public Offering ◽  
Indian Stock Market ◽  
A Company

Stock Market is the pioneer destination for any company to establish in Market. It gives a legal status for organizations and social recognition in market. Here, when a company decides to enter in market with the maximum attention or when a private firm decides to convert itself into a public sector firm, in that case IPO issuance is the best way to enter stock market. Stock market provides a legal platform of trading with massive investors to give a kick start beginning of company. This article discuss about the process of IPO for Indian Stock Market listing. SEBI provides guidelines for the IPO of companies.

scholarly journals Stock market prediction using technical analysis

2006 ◽  
Vol 51 (170) ◽  
pp. 125-146 ◽  
Author(s):  
Aleksandra Bradic-Martinovic
Keyword(s):  
Stock Market ◽  
Trading Volume ◽  
Moving Average ◽  
Supply And Demand ◽  
Wave Theory ◽  
Technical Analysis ◽  
Ease Of Use ◽  
Future Price ◽  
Mathematical Methods ◽  
Price Movements

Technical analysis (TA) is a form of analyzing market encompassing supply and demand of securities according to the study of their prices and trading volume. Using the appropriate methods, TA aims to identify price movements in the stock market, futures or currencies. In short, TA analysis is the process by which "future price movements are formulated according to the price history". TA originates from the work of Charles Dow and his conclusions about the global behavior of the market, as well as from Elliot Wave Theory. Dow did not regard its theory as a tool for stock market movement prediction, nor as a guide for investors, but as a kind of barometer of general market movements. The term TA methods encompasses all the methods used in tracking prices aiming to clearly predict future events. Many different methods, mainly statistical, are used in technical analysis, the most popular ones being: establishing and following trends using moving average, recognizing price momentum, calculating indicators and oscillators, as well as cycle analysis (structure indicators). It is also necessary to point out that TA is not a science in the true meaning of the term, and that methods it uses frequently deviate from the conventional manner of their use. The main advantage of these methods is their relative ease of use, aiming to give as clear picture as possible of price movements, while at the same time avoiding the use of complicated and complex mathematical methods. The reason for this is simple and is reflected in the dynamics of financial markets, where changes occur during short periods of time and where prompt decision-making is of vital importance.

Clustering Indian stock market data for portfolio management

2010 ◽  
Vol 37 (12) ◽  
pp. 8793-8798 ◽  
Author(s):  
S.R. Nanda ◽  
B. Mahanty ◽  
M.K. Tiwari
Keyword(s):  
Stock Market ◽  
Portfolio Management ◽  
Market Data ◽  
Indian Stock Market

scholarly journals Do Banking and Financial Services Sectors Show Herding Behaviour in Indian Stock Market Amid COVID-19 Pandemic? Insights from Quantile Regression Approach

2021 ◽  
pp. 097639962110323
Author(s):  
P. K. Mishra ◽  
S. K. Mishra
Keyword(s):  
Stock Market ◽  
Quantile Regression ◽  
Financial Services ◽  
Stock Exchange ◽  
Financial Assets ◽  
Supply Chain Disruptions ◽  
Market Participants ◽  
Market Instability ◽  
Indian Stock Market ◽  
Stock Market Investment

In India, the coronavirus (COVID-19) pandemic-induced country-wide regulatory lockdown and consequential supply-chain disruptions and market instability have all posed serious challenges before the regulators and policymakers. Amid the pandemic, the stock market showed return volatilities primarily due to the unexpected investors’ behaviour. One of the behavioural biases is herding, which has the power to wreck the market equilibrium and shatter the market efficiency. Given that the pandemic has generated unprecedented spirals of uncertainties across the globe, thereby creating interruptions in the pattern of stock market investment decisions, this study examined the herding behaviour of 54 stocks of banking and financial services sectors listed in the national stock exchange. In the quantile regression framework, the study provides evidence of the presence of herding for public sector banking and financial services under the bull market conditions during the pandemic in the 90th quantile of the return distribution. This finding has implications for the mispricing of financial assets in these sectors. So, the study suggests removing information asymmetry among the market participants and devising policy initiatives for ensuring market stability.

scholarly journals A Study on Stock Price Prediction using LSTM Model

2021 ◽  
Vol 9 (VI) ◽  
pp. 2618-2622
Author(s):  
Koushal Saini
Keyword(s):  
Stock Market ◽  
Stock Price ◽  
Time Series Data ◽  
Moving Average ◽  
Technical Analysis ◽  
Relative Strength ◽  
Trend Detection ◽  
Series Data ◽  
Future Price ◽  
Stock Price Prediction

Predicting stock price of any stock is a challenging task because the Volatility of stock market the nature of stock price is dynamic, chaotic, noisy and sometimes totally unexpected. The other most difficult task is to analyze and decide financial time series data that improves investment returns and help in minimizing losses. Technical analysis is a method that help in analyzing a stock and predict its future price via evaluating securities. There are already many Indicators and other tools for technical analysis in stock market. Some famous indicators such as SMA (Simple Moving Average), EMA (Exponential Moving Average), WMA (Weight Moving Average), VWMA (Volume Weight Moving Average), DEMA (moving averages), MACD (Moving Average Convergence/Divergence), ADX (Average Di- reactional Movement Index), TDI (Trend Detection Index), Arun, VHF (trend indicators), stochastic, RSI (Relative Strength Index), SMI(Stochastic Momentum Index, volume indicators are also available for technical analysis. Here, we have used the LSTM Model to predict future price of some big companies of stock market in NSE.

scholarly journals Don’t fight the tape! Technical Analysis Momentum and Contrarian Signals as Common Cognitive Biases

2020 ◽  
Vol 28 (2) ◽  
pp. 98-110
Author(s):  
Piotr Zielonka ◽  
◽  
Wojciech Białaszek ◽  
Paweł Biedrzycki ◽  
Bartłomiej Dzik ◽  
...  
Keyword(s):  
Stock Market ◽  
Natural Environment ◽  
Stock Price ◽  
Predictive Power ◽  
Cognitive Biases ◽  
Technical Analysis ◽  
Market Participants ◽  
Trend Reversal

Purpose: Stock market participants use technical analysis to seek trends in stock price charts despite its doubtful efficiency. We tested whether technical analysis signals represent typical and common cognitive biases associated with the continuation or reversal of the trend. Methodology: We compared investors’ opinions about the predictive power of technical analysis signals grouped into five conditions: real technical analysis signals associated with trend continuation (real momentum signals) or trend reversal (real contrarian signals), fake momentum or fake contrarian signals, and fluctuation signals. Findings: Investors assigned larger predictive power to real and fake signals associated with trend continuation than to signals associated with trend reversal. Fake signals, which represented cognitive biases, elicited similar predictions about trend continuation or reversal to real technical analysis signals. Originality: Market players assess momentum signals to have greater predictive power than contrarian signals and neutral signals to have the least predictive power. These results are independent of whether technical analysis signals were well-known to investors or made up by experimenters. The hardwired propensity of our brains to detect patterns combined with the non-natural environment of the stock market creates the illusion of expertise that is not easy to dispel.

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