scholarly journals Monetary Policy and Stock Price Dynamics in Nepal

2020 ◽  
Vol 3 (1-2) ◽  
pp. 18-38
Author(s):  
Mani Raj Shrestha
Keyword(s):  
Monetary Policy ◽  
Money Supply ◽  
Stock Prices ◽  
Financial Stability ◽  
Stock Price ◽  
Time Series Data ◽  
Series Data ◽  
Monetary Policies ◽  
Policy Goals ◽  
Monetary Authorities

Monetary authorities are attentive towards stock price movement because of its significance in financial stability. Though stock price is one of the major channels of monetary transmission, very little is known about it in Nepali context. This study analyzed monetary variables, stock prices, and monetary policy goals using time series data. Results from Koyck approach to distributed lags, vector autoregression and mediation analysis revealed mixed evidence of causality between monetary policy and stock prices. Though results were not consistent across different econometric analysis, inter-bank interest rate, narrow money supply, broad money supply, monetary policy announcement, and monetary policy stances were found to be significant in explaining stock prices. Furthermore, causality also existed from stock prices to monetary policy, suggesting that monetary authorities also consider development in stock prices while formulating monetary policies. However, stock prices had not been found to mediate the relationship between monetary policy variables and monetary policy goals, which questioned stock prices being a channel of monetary policy transmission in Nepal.

scholarly journals An econometric analysis of the effectiveness of fiscal and monetary policies in India

2021 ◽  
Author(s):  
Anand Nadar
Keyword(s):  
Economic Growth ◽  
Monetary Policy ◽  
Fiscal Policy ◽  
Money Supply ◽  
Series Data ◽  
Monetary Policies ◽  
Indian Economy ◽  
Long Run ◽  
Short Run ◽  
Bound Test

This study investigatesthe effectiveness of fiscal policy and monetary policy in India. We collected thetime series data for India ranging from 1960 to 2019 from World Development Indicator (WDI). Weapplied the bound test co-integration approach to check the long-run relationship between fiscalpolicy, monetary policy, and economic growth in the context of Indian economy. The short-run andlong-run effects of fiscal policy and monetary policy have been estimated using ARDL models. Theresults showed that there is a long-run relationship between fiscal and monetary policies witheconomic growth. The estimated short-run coefficients indicated that a few immediate short runimpacts of fiscal and monetary policies are insignificant. However, the short-run impacts becomesignificant as time passes. The long-run results suggested that the long-run impact of both fiscal andmonetary policies on economic growth are positive and significant. More specifically, the GDP levelincreases if the money supply and government expenditure increase (Expansionary fiscal andmonetary policies). On the other hand, the GDP level decreasesif the money supply and governmentexpenditure decrease (contractionary fiscal and monetary policies). Therefore, this studyrecommends to use expansionary policies to spur the Indian economy.

A Sectoral Analysis of the Role of Stock Market Development on Economic Growth: Empirical Evidence from Indian Economy

2017 ◽  
Vol 18 (4) ◽  
pp. 911-923 ◽  
Author(s):  
Madhu Sehrawat ◽  
A.K. Giri
Keyword(s):  
Economic Growth ◽  
Stock Market ◽  
Stock Prices ◽  
Stock Price ◽  
Time Series Data ◽  
Trade Openness ◽  
Series Data ◽  
Causality Test ◽  
Long Run ◽  
Short Run

The present study examines the relationship between Indian stock market and economic growth from a sectoral perspective using quarterly time-series data from 2003:Q4 to 2014:Q4. The results of the autoregressive distributed lag (ARDL) approach bounds test confirm the existence of a cointegrating relationship between sector-specific gross domestic product (GDP) and sector-specific stock indices. The empirical results reveal that sector-specific economic growth are significantly influenced by changes in the respective sector-specific stock price indices in the long run as well as in the short run. Apart from that, the control variables, such as trade openness and inflation, act as the instrument variables in explaining the variations in the sector-specific GDP of the economy. The results of Granger causality test demonstrate unidirectional long-run as well as short-run causality running from sector specific stock prices to respective sector GDP. The findings suggest that economic growth of the country is sensitive to respective sub-sector stock market investments. The findings highlight the reasons for cyclical and counter-cyclical business phase for the overall economy.

Terrorism and Stock Market Linkages: An Empirical Study from a Front-line State

2017 ◽  
Vol 18 (2) ◽  
pp. 365-378 ◽  
Author(s):  
Imtiaz Arif ◽  
Tahir Suleman
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Time Series Data ◽  
Negative Impact ◽  
Stock Exchange ◽  
Series Data ◽  
Front Line ◽  
Long Run ◽  
Factor Index ◽  
The Impact

This article investigates the impact of prolonged terrorist activities on stock prices of different sectors listed in the Karachi Stock Exchange (KSE) by using the newly developed terrorism impact factor index with lingering effect (TIFL) and monthly time series data from 2002 (January) to 2011 (December). Johansen and Juselius (JJ) cointegration revealed a long-run relationship between terrorism and stock price. Normalized cointegration vectors are used to test the effect of terrorism on stock price. Results demonstrate a significantly mixed positive and negative impact of prolonged terrorism on stock prices of different sectors and show that the market has not become insensitive to the prolonged terrorist attacks.

scholarly journals PENGARUH RETURN ON EQUITY, DEBT TO EQUITY RATIO DAN SIZE TERHADAP HARGA SAHAM PADA PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA (BEI)

BISMA ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 27
Author(s):  
Marzuki Marzuki
Keyword(s):  
Firm Size ◽  
Significant Influence ◽  
Stock Prices ◽  
Stock Price ◽  
Time Series Data ◽  
Stock Exchange ◽  
Series Data ◽  
Manufacturing Companies ◽  
Return On Equity ◽  
Section Data

The objective of this study is to examine the effect of ROE, DER, and firm size on stock prices of the manufacturing companies listed on the Indonesia Stock Exchange (IDX). The data used in this study were panel data sourced from the combination of cross section data and time series data. This research used purposive sampling method with the sample consisted of 86 manufacturing companies listed on IDX in 2017. Data were analyzed using multiple linear regression. The results showed that ROE and firm size had a positive and significant influence on stock price. However, DER did not have a significant influence on stock price. Keywords : ROE, DER, company size, stock price

scholarly journals Application of Short-term Forecasting Models for Energy Entity Stock Price (Study on Indika Energi Tbk., JII)

2019 ◽  
Author(s):  
Fajrin Satria Dwi Kesumah ◽  
Rialdi Azhar ◽  
Edwin Russel
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Time Series Data ◽  
Investment Decision ◽  
Share Price ◽  
Series Data ◽  
Arch Effect ◽  
Heterogeneous Variances ◽  
Short Term Forecasting ◽  
Autoregressive Conditional Heteroscedasticity

Share price as one of financial data is the time series data that indicates both a level of fluctuate movement and heterogeneous variances called heteroscedasticity. The method that can be used to overcome the effect of autoregressive conditional heteroscedasticity (ARCH effect) is GARCH model. This study aims to design the best model that can estimate the parameters, to predict share price based on the best model, and to show its volatility. In addition, this paper also discuss the predicted-based-model investment decision. The finding indicating the best model correspond to the data is AR(4) – GARCH(1,1). It is then implemented to forecast the stock prices of Indika Energy, Tbk, Indonesia, for upcoming 40 days that presents significantly good findings with the error percentage below the mean absolute.

scholarly journals Correspondence between Monetary Policies and Stock Prices

2020 ◽  
Vol 9 (4) ◽  
pp. 2809-2811
Keyword(s):  
Money Supply ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Return ◽  
Vital Role ◽  
Monetary Policies ◽  
Monthly Data ◽  
Repo Rate ◽  
The Relationship

Money supply in an economy plays a vital role in determining the prices of stocks. This study uses repo rate and reverse repo rate as a proxy for money supply and the stock return from CNX Nifty as the dependant variable. This study uses monthly data for 10 years. The study is aimed at determining the relationship between repo rate, reverse repo rate and stock price return. The study identifies that repo rate and reverse repo rate are significantly affecting he stock return.

scholarly journals Implementation of Long Short-Term Memory and Gated Recurrent Units on Grouped Time-Series Data to Predict Stock Prices Accurately

2021 ◽  
Author(s):  
Armin Lawi ◽  
Hendra Mesra ◽  
Supri Amir
Keyword(s):  
Time Series ◽  
Stock Prices ◽  
Stock Price ◽  
Time Series Data ◽  
Short Term Memory ◽  
Series Data ◽  
Percentage Error ◽  
Short Term ◽  
Term Memory ◽  
Long Short Term Memory

Abstract Stocks are an attractive investment option since they can generate large profits compared to other businesses. The movement of stock price patterns on the stock market is very dynamic; thus it requires accurate data modeling to forecast stock prices with a low error rate. Forecasting models using Deep Learning are believed to be able to accurately predict stock price movements using time-series data, especially the Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) algorithms. However, several previous implementation studies have not been able to obtain convincing accuracy results. This paper proposes the implementation of the forecasting method by classifying the movement of time-series data on company stock prices into three groups using LSTM and GRU. The accuracy of the built model is evaluated using loss functions of Rooted Mean Squared Error (RMSE) and Mean Absolute Percentage Error (MAPE). The results showed that the performance evaluation of both architectures is accurate in which GRU is always superior to LSTM. The highest validation for GRU was 98.73% (RMSE) and 98.54% (MAPE), while the LSTM validation was 98.26% (RMSE) and 97.71% (MAPE).

scholarly journals Does Macroeconomic Indicators Influence Stock Price Behavior? Evidence from Nigerian Stock Market

2019 ◽  
Vol 6 (2) ◽  
pp. 26
Author(s):  
Peter Ego Ayunku
Keyword(s):  
Stock Market ◽  
Significant Influence ◽  
Stock Prices ◽  
Stock Price ◽  
Time Series Data ◽  
Unit Root Test ◽  
Series Data ◽  
Price Behavior ◽  
Market Growth ◽  
Integration Test

This paper investigate whether macroeconomics indicators influences stock price behavior in Nigerian stock market, using an annual time series data spanning from 1985-2015. The study employed some econometric tools such as Augmented Dicker Fuller (ADF) Unit Root test, Johansen’s co integration test, Vector Error Correction Model (VECM) to analyze the variables of interest. The study found out that Money Supply (MS) has an inverse but statistically significant  influence on stock prices in Nigerian stock market also Treasury Bill Rate (TBR) has an inverse and statistically insignificant influence on stock market prices. While on the other hand, Market Capitalization (MCAP) has a positive and statistically significant influence on stock prices while Exchange Rate (EXR) has positive but statistically insignificant relationship with stock prices in the Nigerian Stock Market. In view of the above, the study recommends amongst others that monetary authorities should try as much as possible to implement sound macroeconomic policies that would enhance stock market growth and development in Nigeria. 

scholarly journals Relationship between Foreign Exchange Rate and Stock Price of Commercial Joint Stock Banks: Evidence from Vietnam

2016 ◽  
Vol 8 (7) ◽  
pp. 193 ◽  
Author(s):  
Tran Mong Uyen Ngan
Keyword(s):  
Exchange Rate ◽  
Foreign Exchange ◽  
Stock Prices ◽  
Stock Price ◽  
Time Series Data ◽  
Foreign Exchange Rate ◽  
Series Data ◽  
Causality Test ◽  
Using Data ◽  
The Relationship

The relationship between foreign exchange rate and stock price is one popular topic that is interested by not only board managers of banks but also stock investors. By using data about foreign exchange rate between Vietnam Dong (VND) and United State Dollar (USD), stock prices data of nine commercial joint stock banks in Vietnam from the first day of 2013 to the last day of 2015, this paper try to answer the question “Does foreign exchange rate impact on stock price and vice verse?”. Applying Dickey Fuller test and Var Granger Causality test for the time series data, the results show that there is an impact of foreign exchange rate on stock price. Although the fluctuation in foreign exchange rate VND/USD causes the change in stock prices of commercial joint stock banks in Vietnam, however, the vector of this impact is not clearly. On the opposite way, the change in stock price does not cause the change in foreign exchange rate, this relation is one-way relation.

IMPACT OF MONETARY POLICY TARGETS ON CAPITAL MARKET DEVELOPMENT IN NIGERIA

2021 ◽  
Vol 8 (1) ◽  
pp. 85-95
Author(s):  
Abdulkarim Musa ◽  
◽  
Uwaleke Uche ◽  
Nwala Nneka ◽  
◽  
...  
Keyword(s):  
Monetary Policy ◽  
Money Supply ◽  
Capital Market ◽  
Time Series Data ◽  
Market Development ◽  
Series Data ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Impact

This study empirically examines the impact of monetary policy targetson capital market development in Nigeria from 1986-2018. Time series data and econometric tools were used to test for the stationarity and causality effect. The Auto-Regressive Distributed Lag Model (ARDL) and Error Correction Model (ECM) techniques were used to examine the short-run and long-run impact and relationship between Monetary Policy and Capital Market Development in Nigeria. The study revealed that both in the long run and short run Exchange Rate (EXCHR), Inflation Rate (INFR), and Interest Rate in Nigeria (INTR)were negatively related to Capital Market Development (CAMKTD) in Nigeria and they were statistically insignificant in explaining changes in Capital Market Development (CAMKTD) in Nigeria. On the other hand, inthe long run, Money Supply was positively related to Capital Market Development (CAMKTD) in Nigeria and was statistically significant at a 5% level significant while Money Supply (M2) was positively related to Capital Market Development (CAMKTD) in Nigeria both in the long run and short-run and was statistically significant at 5% level of significance. Therefore, the study recommends that government should improve the efficiency and effectiveness of the money supply in Nigeria since it was statistically significant in determining the improvement of Capital Market Development (CAMKTD) in Nigeria.

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