This study explores the bubble behavior in prices of top five cryptocurrencies (i.e., Bitcoin, Ethereum, Ripple, Stellar, and Tether) using daily data closing level at COVID-19 pandemic, covering period from January 2, 2020 to 2021. The testing procedure selected is investigated by two methodologies. Those covers test statistics originated Supremum Augmented Dickey-Fuller (SADF) (Phillips et al...

Purpose: The key objective of the analysis is to explore impact oil prices and exchange rates on inflation rate in Pakistan by using annual time-series data from period 1980 2020.
 Design/Methodology/Approach: augmented Dickey-Fuller test, bound test approach, ARDL model are applied achieve objectives study.
 Findings: It found that crude real effective be significant factors influenc...

The economic dimension has revealed that weak growth is one of the causes unemployment and related to GDP. Forecasting rate essential an important determinant monetary policy decisions needs be addressed. This study conducted identify whether novel coronavirus 2019, COVID-19 affects Malaysia’s forecast for next two years. Box-Jenkins approach uses Augmented Dickey-Fuller test stabilize data. Af...

The financial markets provide a viable avenue for investors who wants to invest their idle resources. Investors need accurate information minimize investment risk and make the right decision. This study attempted test predictability of Philippine Stock Exchange (PSE) sectoral indices. data used in this are daily closing price six indices from January 2010 December 2019. Augmented Dickey-Fuller ...

Introduction. High and sustained economic growth with low inflation is the central objective of macroeconomic policy makers. Therefore, has been one most researched topics in macroeconomics for last many years because it serious implications GDP growth. The main aim this empirical study to examined relationship b/w (GDP) Gross Domestic Product Growth Pakistan by using time series data from 1990...

This study examines the short- and long-run of causal correlation between economic growth (G.R.) renewable electricity generation sources for a panel 25 developing nations over period 1990–2017. To do so, second-generation cross-sectional dependence (C.D.) test Im, K.S., Pesaran Augmented Dickey-Fuller unit root test, cointegration, autoregressive distributed lag in view pooled mean group estim...

This study seeks to build an appropriate model that will be used forecast the US Dollar Nigerian Naira Exchange Rate. The exchange rate market is known unstable; this due constant changes in economic or environment of countries. Therefore, forecasting accurately very important decisions countries and organized private sector. Autoregressive Integrated Moving Average (ARIMA model) as basis time ...

Efficiency of stock markets is an essential characteristic to provide fair investment opportunities to all class of investors. It suggests that no investor shall be able to make abnormal gains using any information or by way of analysis. An understanding about the level of efficiency explores avenues for unnatural profits from the stock market. Efficient markets tend to immediately reflect all ...

This paper establishes an invariance principle applicable for the asymptotic analysis of sieve bootstrap in time series+ The sieve bootstrap is based on the approximation of a linear process by a finite autoregressive process of order increasing with the sample size, and resampling from the approximated autoregression+ In this context, we prove an invariance principle for the bootstrap samples ...