Stock Market

The paper studies the effect on the stock market in India. It's a vivid picture which has emerged in India Stock market. This paper will try to evaluate the stock market fall from January 2020 to 17 th March 2020.The data are collected from secondary sources. This paper will help the people to understand clear picture about the different phases of COVAID-19 which is responsible for bearish mood of the market. The first outbreak came in China market. Afterward it has affected all the market throughout the world. It has effected in three phases. When I was going through reports I found there are three phases, In short the phases are-i) Incubation phase ii) Outbreak Phase iii) Fever phase or Pandemic. In Incubation the financial Institutions started paying attention in Outbreak stage the stocks started falling.

The paper studies the effect on the stock market in India. It’s a vivid picture which has emerged in India Stock market. This paper will try to evaluate the stock market fall from January 2020 to 17 th March 2020.The data are collected from secondary sources. This paper will help the people to understand clear picture about the different phases of COVAID-19 which is responsible for bearish mood of the market. The first outbreak came in China market. Afterward it has affected all the market throughout the world. It has effected in three phases. When I was going through reports I found there are three phases, In short the phases are –i) Incubation phase ii) Outbreak Phase iii) Fever phase or Pandemic . In Incubation the financial Institutions started paying attention in Outbreak stage the stocks started falling

Günümüzde Yapay Sinir Ağları son dönemde popüler olan öngörü yöntemlerinden biridir. Bununla birlikte Yapay Sinir Ağları kendi içerisinde öngörü modelleri birkaç farklı yöntemle ayrılmaktadır. Bu makalede yapay sinir ağları yöntemlerinden en çok kullanılan 3 yöntemin karşılaştırmalı analizi yapılmıştır. Bu çalışmada en yüksek tahmin sonuçlarını veren yöntemin belirlenmesi amaçlanmıştır. Bu veri setinde 6215 veri, 6 farklı bağımsız değişken bulunmaktadır. Bu bağımsız değişkenler sırasıyla, açılış, kapanış, en yüksek olduğu nokta, en düşük olduğu nokta, açılış-kapanış arasındaki fark, en yüksek çıktığı değer-en çok düştüğü değer arasındaki farkın ortalamasıdır. Bu bağımsız değişkenler Yapay Sinir Ağları modelinin girdisi iken, bağımlı değişken olarak modelin tahmin gücü kullanılmıştır. Bu çalışmada üç farklı Yapay Sinir Ağı yöntemi kullanılacaktır, bunlar sırasıyla; doğrusal regresyon, rassal orman regresyon, karar ağacı öğrenmesi'dir. Yapay Sinir Ağları ile elde edilen sonuçlar en iyi tahmin modeli ortaya çıkaracaktır. Uygun veri setinin kullanımı ile birlikte en doğru sonuçları verebilmektedir. Bunun en önemli nedenlerinden bir tanesi Yapay Sinir Ağları, daha fazla veriye ihtiyaç duymakta ve veri sayısı arttıkça öğrenme ve eğitim aşamaları daha iyi sonuç ortaya koymaktadır.

Capital Asset Pricing Model (CAPM) builds on the portfolio theory and predicts that all investors hold the market portfolio in equilibrium and as such only systematic risks is priced. Yet empirical evidences on this important relation have been yielding mixed results. While some show that idiosyncratic risk can as well be priced, others contradict this. In investigating whether idiosyncratic risks can be priced in the Nigerian stock market, we employed two-step estimation procedures, namely the time series procedure to determine the beta and idiosyncratic risk for each of the companies and the cross-sectional estimation procedure used on EGARCH model to investigate the impact of these risks on the stock market returns. Our result reveals that systematic risk is priced while the idiosyncratic risk is not priced. Thus, investors in the Nigerian stock market seem to fully diversify away firms specific risk while holding market portfolio. The study also found that volatility clustering ...

We examine the intraday trading response of participants in the common stock market and in the preferred stock market to announcements of dividend increases on common stock. We find that participants in the preferred stock market respond more slowly to the ...

This work aims to show how an intelligent system based on reinforcement learning can benefit of classical financial indicators to overcome classic trading strategies in the stock market. Due to the non-linear, random and non-stationary nature of the financial markets, various classic strategies fail to benefit from all opportunities where they could be making profit. In order to achieve that, a system was built where only the buying strategy uses reinforcement learning SARSA algorithms while the sell is made through various classic strategies. To test it, a system that uses an identical selling strategy was constructed, where the purchase was based on a classic indicator. Results show that the intelligent algorithm achieved more stable returns, up to six times higher than the ones from tested classical strategies.

This study contributes to the stock returns-inflation relation literature in developing countries by revisiting the issue with reference to the emerging economy, India. More specifically, it tests whether the Indian stock market provides an effective hedge against inflation using monthly data on real stock return, inflation and real activity from April 1980 to March 2004 and a two-step estimation procedure. Results of the study indicate that (i) the Indian stock market reflects future real activity; (ii) the negative stock returns-inflation relation emerges from the unexpected component of the inflation and (iii) this negative relation vanishes when we control for the inflation-real activity relation, thereby providing a strong support for Fama’s proxy effect hypothesis. The split sample analyses indicate that the Fama hypothesis is valid only in pre reform period. In the post reform period, real stock returns have been independent of inflation, i.e., the Fisher Hypothesis is valid.

How does a firm in one country evaluate an investment in a firm in another country, or how does it evaluate a foreign project that the firm itself is undertaking? The firm must estimate future free cash flows just as in a domestic project, but choosing an appropriate discount rate is a particular challenge. This study examines the determinants of the discount rate for an international acquisition or project by examining the sources of risk in an international setting. These risks include stock-market price risk measured with ...

Inflation means a persistent change in the price level of goods and services in an economy. It is generally measured in the consumer price index (CPI) or retail price index (RPI). Inflation reduces the purchasing power of a country's currency, as we need more units of currency over time to buy the same goods and services. The current empirical paper entitled “relationship between inflation and stock market evidence from selected global stock markets” have been undertaken with an intention to investigate the relationship between inflation and stock returns of the chosen economies. In order to realize the stated objectives, the researchers have collected the monthly data 2000 to 2017 for selected indices. In the first phase, log returns were computed and it has been tested for the existence of unit root in the distribution. In the second phase, we ran Pearson correlation coefficient for the collected data to find out the association between the inflation and stock returns. Majorit...

Financial markets are a classical example of complex systems as they are compound by many interacting stocks. As such, we can obtain a surprisingly good description of their structure by making the rough simplification of binary daily returns. Spin glass models have been applied and gave some valuable results but at the price of restrictive assumptions on the market dynamics or they are agent-based models with rules designed in order to recover some empirical behaviors. Here we show that the pairwise model is actually a statistically consistent model with the observed first and second moments of the stocks orientation without making such restrictive assumptions. This is done with an approach only based on empirical data of price returns. Our data analysis of six major indices suggests that the actual interaction structure may be thought as an Ising model on a complex network withé interaction strengths scaling as the inverse of the system size. This has potentially important implica...