Salmon Stock Market Prices Revealing Salmon Price Information

2021 ◽  
pp. 000-000
Author(s):  
Roy Endré Dahl ◽  
Atle Oglend ◽  
Muhammad Yahya
Keyword(s):  
Stock Market ◽  
Price Information ◽  
Market Prices ◽  
Salmon Stock

Macroeconomic Determinants of Stock Market Prices in Nepal

2020 ◽  
Vol 2 (1) ◽  
pp. 56-65
Author(s):  
Bhim Prasad Panta
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Market ◽  
Money Supply ◽  
Developing Economies ◽  
Annual Data ◽  
Economic Variables ◽  
Market Prices ◽  
Ardl Model ◽  
Long Run

Background: Stock market plays a crucial role in the financial system of a country. It can be viewed as a channel through which resources are properly channelized. It enables the governments and industry to raise long-term capital for financing new projects. The stock markets of developing economies are likely to be sensitive to various macro-economic factors such as GDP, imports, exports, exchange rates etc., when there is high demand on financial products, as a constituent of financial market, ultimately stock market needs to develop. Many factors can be a signal to stock market participants to expect a higher or lower return when investing in stock and one of these factors are macroeconomic variables and thus, macro-economic variables tend to effect on stock market development. Objective: This study examines the linkage between stock market prices (NEPSE index) and five macro-economic variables, namely; real GDP, broad money supply, interest rate, inflation, and exchange rate using ARDL model and to explain the behavior of the Nepal Stock Exchange Index. Methods: The ECM which is delivered from ARDL model through simple linear transformation to integrate short run adjustments with long run equilibrium without losing long run information. The analysis has been done by using 25 years' annual data from 1994 to 2019. Findings: The result suggests that the fluctuation of Nepse Index in long run is strongly associated with broad money supply, interest rate, inflation, and exchange rate. Conclusion: Though Nepalese stock market is in primitive stage, broad money supply, interest rate, inflation and exchange rate are major factors affecting stock market price of Nepal. So, policies and strategies should be made and directed taking these in to consideration. Implication: The findings of research can be helpful to understand the behavior of Nepalese stock market and develop policies for market stabilization.

Stock Market Prices and Financial System Stability

2019 ◽  
Author(s):  
Zaäfri A. Husodo ◽  
Muhammad Budi Prasetyo ◽  
Rizky Luxianto ◽  
Theresia Silitonga ◽  
Januar Hafidz ◽  
...  
Keyword(s):  
Stock Market ◽  
Financial System ◽  
System Stability ◽  
Market Prices

Spectral analysis of stock market prices

1979 ◽  
Vol 3 (2) ◽  
pp. 201-208 ◽  
Author(s):  
Marc L. Bertoneche
Keyword(s):  
Spectral Analysis ◽  
Stock Market ◽  
Market Prices

scholarly journals Fractional differencing in stock market price and online presence of global tourist corporations

2019 ◽  
Vol 24 (48) ◽  
pp. 194-204 ◽  
Author(s):  
Francisco Flores-Muñoz ◽  
Alberto Javier Báez-García ◽  
Josué Gutiérrez-Barroso
Keyword(s):  
Time Series ◽  
Stock Market ◽  
Market Price ◽  
Google Trends ◽  
Data Sets ◽  
Market Prices ◽  
Content Type ◽  
Search Results ◽  
Online Presence ◽  
Fractional Differencing

Purpose This work aims to explore the behavior of stock market prices according to the autoregressive fractional differencing integrated moving average model. This behavior will be compared with a measure of online presence, search engine results as measured by Google Trends. Design/methodology/approach The study sample is comprised by the companies listed at the STOXX® Global 3000 Travel and Leisure. Google Finance and Yahoo Finance, along with Google Trends, were used, respectively, to obtain the data of stock prices and search results, for a period of five years (October 2012 to October 2017). To guarantee certain comparability between the two data sets, weekly observations were collected, with a total figure of 118 firms, two time series each (price and search results), around 61,000 observations. Findings Relationships between the two data sets are explored, with theoretical implications for the fields of economics, finance and management. Tourist corporations were analyzed owing to their growing economic impact. The estimations are initially consistent with long memory; so, they suggest that both stock market prices and online search trends deserve further exploration for modeling and forecasting. Significant differences owing to country and sector effects are also shown. Originality/value This research contributes in two different ways: it demonstrate the potential of a new tool for the analysis of relevant time series to monitor the behavior of firms and markets, and it suggests several theoretical pathways for further research in the specific topics of asymmetry of information and corporate transparency, proposing pertinent bridges between the two fields.

scholarly journals The Dynamics of Gold Prices, Gold Mining Stock Prices and Stock Market Prices Comovements

2009 ◽  
Vol 1 (1) ◽  
Author(s):  
Claire G. Gilmore ◽  
Ginette M. McManus ◽  
Rajneesh Sharma ◽  
Ahmet Tezel
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Gold Mining ◽  
Market Prices

House price and the stock market prices dynamics: evidence from China using a wavelet approach

2019 ◽  
Vol 27 (12) ◽  
pp. 971-976
Author(s):  
Yun Hong ◽  
Yi Li
Keyword(s):  
Stock Market ◽  
House Price ◽  
Market Prices
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