scholarly journals Recurrence Analysis of the Economic Behavior of Agents of the Frequency of Online Exchange Rate in the Information Environment

2020 ◽  
Author(s):  
Kucherova Hanna ◽  
Dmytro Ocheretin ◽  
Vita Los ◽  
Olha Bilska
Keyword(s):  
Exchange Rate ◽  
Economic Behavior ◽  
Information Environment ◽  
Recurrence Analysis ◽  
Online Exchange

scholarly journals Dynamics of Exchange Rate and the Performance of Service Industry: The Nigerian Experience

2019 ◽  
Vol 7 (1) ◽  
pp. 1-10
Author(s):  
Kolawole Subair ◽  
◽  
Sheriffdeen Talla ◽  
Russell Olukayode Christopher Somoye ◽  
◽  
...  
Keyword(s):  
Exchange Rate ◽  
Service Sector ◽  
Service Industry ◽  
Exchange Rate Volatility ◽  
Output Growth ◽  
Economic Behavior ◽  
Barriers To Entry ◽  
Industrial Growth ◽  
Research Attention ◽  
Domestic Credit

The re-basing of the Nigerian economic data since 2013 has shown the growing relevance of the service sector to the economic development of Nigeria. The need to investigate the nexus between the service sector and macroeconomic variables become imperative in view of inadequate research attention in the past and the present desirable concern for policy shifts in favor of promoting activities in the sector. It is in this context that our paper considered the effects of exchange rate behavior on the performance of the service industry in Nigeria. More so that it is becoming increasingly clear that the openness of the Nigerian economy to the outside world and the seeming dollarization of earnings from economic activities, even with high local content, have varied impacts on economic behavior in many sectors of the economy. A comprehensive study was carried out to determine the relationship between the dynamics of exchange rate and the service industry activities. The data used include services, exchange rates, money supply, domestic credit, interest rate and inflation covering the period of 1981- 2015. Using the ARDL, a 10% point increase in exchange rate volatility and domestic credit increases service output growth (SER) by 0.68% and 5.15% respectively. The paper thus suggest that there must be reforms in government polices to remove barriers to entry by private investors into certain services in order to prevent market distortions and reduce cost of capital so as to enhance an integrated services-manufacturing industrial growth.

Cultural Fusion Theory

2019 ◽  
Author(s):  
Eric Mark Kramer
Keyword(s):  
Economic Behavior ◽  
Information Environment ◽  
Semantic Field ◽  
Interpersonal Style ◽  
Family Structures ◽  
New Information ◽  
Hybrid Culture ◽  
Cultural Legacies ◽  
Fusion Theory ◽  
Cultural Fusion

Cultural fusion is the process of integrating new information and generating new cultural forms. Cultural fusion theory recognizes the world as a churning information environment of cultural legacies, competing and complementing one another, forming novel cultural expressions in all aspects of life, including music, cuisine, pedagogy, legal systems, governance, economic behavior, spirituality, healthcare, norms of personal and interpersonal style, family structures, and so forth. This is a process of pan-evolution, involving countless channels, not merely two cultures coming together to form a third, hybrid culture. During this process the traditional pace and form of change is itself changing. Cultures are also transformed as a result of the churning process of an emergent global semantic field generated by countless networked exchanges.

scholarly journals Short-term foreign exchange forecasting: decision making based on expert polls

2019 ◽  
Vol 16 (4) ◽  
pp. 215-228 ◽  
Author(s):  
Jaehyung An ◽  
Mikhail Dorofeev
Keyword(s):  
Decision Making ◽  
Exchange Rate ◽  
Foreign Exchange ◽  
Foreign Currency ◽  
Historical Data ◽  
Economic Behavior ◽  
Short Term ◽  
Time Horizons ◽  
Observation Period ◽  
Future Exchange

The paper aims to analyze the decision making based on expert polls for short-term foreign exchange (FX) forecasting from the viewpoint of the economic behavior theory. The paper offers the assessment of the problem of decision making for forecasting and investment into foreign currency. This study analyzes the relative accuracy of expert polls and forecasts, based on historical data, in the prediction of the most liquid currency pairs (EUR/USD, USD/JPY, GBP/USD) as well as USD/RUB currency pair on time horizons 1, 2, 6, and 12 months. Observation period lasted from January 2018 to January 2019. For EUR/USD (56-62 experts), the polls were more accurate than historical simulations. For GBP/USD (28-70 experts), historical simulations were more accurate than polls. For USD/JPY and USD/RUB, historical simulations are better earlier, while polls are slightly better later. The main conclusion is that EUR/USD historical modeling is usually less accurate on the horizon more than half a year as compared with expert polls for making the decisions about the future exchange rate.

Faktor-Faktor Yang Mempengaruhi Nilai Tukar Dollar Amerika Serikat Terhadap Rupiah Tahun 2000–2013

2017 ◽  
Vol 1 (2) ◽  
pp. 177-191
Author(s):  
Rizki Rahma Kusumadewi ◽  
Wahyu Widayat
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Money Supply ◽  
Time Series Data ◽  
The United States ◽  
Economic Conditions ◽  
Series Data ◽  
Arch Model ◽  
United States Dollar ◽  
The Exchange Rate

Exchange rate is one tool to measure a country’s economic conditions. The growth of a stable currency value indicates that the country has a relatively good economic conditions or stable. This study has the purpose to analyze the factors that affect the exchange rate of the Indonesian Rupiah against the United States Dollar in the period of 2000-2013. The data used in this study is a secondary data which are time series data, made up of exports, imports, inflation, the BI rate, Gross Domestic Product (GDP), and the money supply (M1) in the quarter base, from first quarter on 2000 to fourth quarter on 2013. Regression model time series data used the ARCH-GARCH with ARCH model selection indicates that the variables that significantly influence the exchange rate are exports, inflation, the central bank rate and the money supply (M1). Whereas import and GDP did not give any influence.

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