scholarly journals Foreign Exchange and the Capital Market Dynamics: New Evidence from Non-linear Autoregressive Distributed Lag Model

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Osaretin Kayode Omoregie ◽  
Sodik Adejonwo Olofin ◽  
Fredrick Ikpesu
Keyword(s):  
Foreign Exchange ◽  
Capital Market ◽  
Market Dynamics ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Non Linear ◽  
Lag Model ◽  
New Evidence ◽  
The Capital Market

scholarly journals On the Unemployment Output Relation in South Africa: A Non-Linear ARDL Approach

2018 ◽  
Vol 10 (5(J)) ◽  
pp. 167-178
Author(s):  
Brian Tavonga Mazorodze ◽  
Noureen Siddiq
Keyword(s):  
Labour Market ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Ardl Approach ◽  
Non Linear ◽  
Lag Model ◽  
Contraction And Expansion ◽  
Unemployment Problem

The central aim of this paper is to establish the asymmetric effects of cyclical output on South Africa's unemployment rate. To achieve this objective, the non-linear autoregressive distributed lag model (NARDL) is applied on quarterly data spanning the periods 1994Q1-2017Q4. For every 10% economic contraction and expansion respectively according to the results, the response of the labour market is asymmetric in the long-run in that it loses more workers during contraction (10.3%) than it employs during recoveries (8%) supporting the labour market hysteresis. This is particularly true post the 2009 Global crisis suggesting that firms might have become more risk-averse to short-lived recoveries in recent years. The weak response of the labour market during expansions supports IMF’s recent proposition that economic recovery alone may not be enough to address South Africa's unemployment problem. 

scholarly journals EVIDENCE OF AN ASYMMETRIC IMPACT OF THE DEVALUATION OF CURRENCY ON INFLATION:

2019 ◽  
Vol 4 (1) ◽  
pp. 101-103
Author(s):  
Ahmed Balarabe Musa
Keyword(s):  
Exchange Rate ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Non Linear ◽  
Short Run ◽  
Lag Model ◽  
Asymmetric Impact ◽  
The Impact

The research is aimed at evaluating the existence of asymmetry or otherwise of the impact of devaluation of currency on inflation in Malaysia for the period 1970 – 2017. Non-linear autoregressive distributed lag model (NARDL) was used as the evaluation econometric tool of the research. The findings of the study reveal that devaluation of currency has an inflationary impact in both short run and long run. Whereas, revaluation of currency does not have any impact neither in the short run nor in the long run. This confirms the upward flexibility of the impact of the increases in the changes in the exchange rate on inflation at the same time reaffirms its rigidity downward.

Capital Market Performance and Bangladesh’s Economy: An Empirical Study

2021 ◽  
pp. 097215092098224
Author(s):  
Md. Shakhaowat Hossin ◽  
Md. Kaisar Hamid
Keyword(s):  
Capital Market ◽  
Vector Error Correction Model ◽  
Causality Test ◽  
Correction Model ◽  
Vector Error Correction ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Vector Error ◽  
Lag Model

This article aims to analyse the effect of capital market performance on Bangladesh’s economy using the data of market capitalization, stock turnover and gross domestic product (GDP) growth from 2001 to 2018. This study employed unit root test, Johansen cointegration test, vector error correction model, autoregressive distributed lag model, non-linear autoregressive distributed lag model, Granger causality test and Toda–Yamamato Granger non-causality test to examine this effect. The result of the vector error correction model revealed the existence of a long-run association between market capitalization and stock turnover as independent variables with GDP. Again, the results of autoregressive distributed lag model and non-linear autoregressive distributed lag model also showed that there exists a significant positive relationship between the stock market and GDP of Bangladesh. Finally, Toda–Yamamato Granger non-causality test confirms that there is a unidirectional causality running from the capital market to GDP.

scholarly journals The Determinants of Tourist Expenditure Per Capita in Thailand: Potential Implications for Sustainable Tourism

2021 ◽  
Vol 13 (12) ◽  
pp. 6550
Author(s):  
Wanvilai Chulaphan ◽  
Jorge Fidel Barahona
Keyword(s):  
Natural Resources ◽  
Sustainable Tourism ◽  
Least Square ◽  
Mass Tourism ◽  
Tourist Destinations ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Lag Model ◽  
Per Capita

Tourism authorities in Thailand have consistently pursued profit-seeking mass tourism, resulting in the detriment of the natural resources in major tourist destinations. In response, sustainable tourism projects centered on preserving the environment have been established but neglect the financial needs of tour operators. The objective of this study was to investigate the determinants of tourist expenditure per capita in Thailand using a dataset consisting of 31 countries from 2010 to 2017. The analysis was based on an autoregressive distributed lag model (ARDL) and used a panel estimated generalized least square (ELGS). Generating such knowledge is essential for tourist authorities to develop profitable and sustainable tourism projects in tourist destinations whose natural resources have been affected by profit-seeking tourism. The tourism expenditure per capita is positively affected by word of mouth, income, and the rising prices in other major tourist destinations in Asia. However, it was negatively affected by relative levels of price and corruption. Sustainable tourism projects can be used to develop activities that will help distinguish Thailand from other tourism destinations in Asia. However, in implementing these sustainable tourism initiatives, the mark-up should be minimized to keep tourist prices in Thailand competitive.

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