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International Journal of Economics
and Financial Research
ISSN(e): 2411-9407, ISSN(p): 2413-8533
Vol. 3, No. 4, pp: 39-43, 2017
URL: http://arpgweb.com/?ic=journal&journal=5&info=aims
*Corresponding Author
39
Academic Research Publishing Group
Impact of Environmental Factors on Foreign Exchange
Fluctuations in Nigeria
Akinyede O. M.*
(PhD) Department of Financial Studies, Redeemer University Ede, Nigeria
Iriobe G. O. Department of Financial Studies, Redeemer University Ede, Nigeria
Afolabi T. S. Department of Financial Studies, Redeemer University Ede, Nigeria
Eniola O. A. Federal College of animal health and Production technology, Ibadan, Nigeria
1. Introduction
The world is fast becoming a global market where individual nations link their economics directly or indirectly
through trade and foreign exchange. The amount of foreign currencies in relation to local currency (foreign
exchange) is substantial in the knowledge of globalisation (Scholte, 2008). Currency market is actually a global and
decentralized financial market where currencies are transacted openly by individuals, businesses, government and
others. It is the world's largest market by any standard. The medium of international exchange is highly uncertain
and unpredictable which has various factors affecting movement of foreign exchange (Patel et al., 2014).The
Nigerian foreign exchange market has witnessed various changes which are determined by a number of antecedents.
In the business market there is so much competition that companies sell outside their countries to increase sales.
Increasing internationalization of business requires the use of different currencies.
Environmental factors are the irrepressible powers influencing the foreign trade market they are identifiable
component in technological, economic, social and political, environment that influences the survival, operations, and
development of any sectors (Gupta, 2013). The currency exchange market is an intricate and delicate market having
a comprehension of the environmental factors influencing the volatility and participation. Prior to the establishment
of the Central Bank of Nigeria (CBN) in1958 and the enactment of the Exchange Control Act of 1962, currency
exchange was earned by the private segment and held in accounts abroad by commercial banks which went about as
operators for exporters (Anajekwu and Usman, 2013).
Environmental factors cause fluctuation in the foreign exchange and has brought about an unstable financial
sector which also has affected other operators within industry and commerce who are players in the international
market. Environmental factor also known as PEST factor (Political, Economical, Social and Technological) may
have a negative effect on international business transactions which will have a ripple effect on the economy as a
Abstract: The study tried to examine the effect of environmental forces on foreign exchange market in
Nigeria. The PEST- Political variables such as change in government (CIG) and democratic rule (DMR);
Economical variables such as interest rate spread (IRS) and inflation in consumer prices (ICP); Social variable
like population growth (PGR); and Technological variables such as fuel exports in merchandise (FEM) and
technology export (TEX) were used to evaluate the impact these environmental factors have on foreign
exchange market (official exchange rate). This study employed a time series data with the time frame 1973-
2015. A multiple regression model was developed and analyzed using the ordinary least square method (OLS)
with the help of E-views, a statistical package. The result showed that in isolation, IRS, FEM and DMR
significantly influenced dealing rates in the Nigerian foreign exchange market while ICP, CIG, PGR, and TEX
did not show any significant influence on foreign exchange market in Nigeria. However, the overall result
showed a significant positive relationship between the environmental forces and the foreign exchange market in
Nigeria with a p -value of 0.000000. We therefore concluded that environmental factors have significant
influence on the Nigerian Foreign Exchange market. Hence, we recommended that relevant stake holders
should pay proper attention to those environmental factors with significant impact on our Foreign Exchange
Market in Nigeria.
Keywords: Change in Government (CIG); Democratic Rule (DMR); Interest Rate Spread (IRS); Inflation in Consumer
Prices (ICP); Population Growth (PGR); Fuel Exports in Merchandise (FEM) and Technology Export (TEX).
International Journal of Economics and Financial Research, 2017, 3(4): 39-43
40
whole. In this light, this study examined the effect of environmental factors on foreign exchange fluctuations in
Nigeria.
1.1. Research Questions
This study seeks to answer this question: to what extent do these environmental factors affect foreign exchange
market in Nigeria? The specific questions are:
1. What effect does Interest Rate Risk have on Official Exchange Rate in Nigeria?
2. Is there any relationship between Inflation in Consumer Prices and Official Exchange Rate?
3. What influence does a Fuel export have on Official Exchange Rate in Nigeria?
4. What is the relationship between Democratic rule and official Exchange Rate?
5. What impact does Change in Government have on Official Exchange Rate in Nigeria?
6. Is there any relationship between Population Growth and Official Exchange Rate?
7. Is there any relationship between technology export and Official exchange Rate in Nigeria?
The paper is structured with the second Section on literature review; Section 3 presents materials and methods,
Section 4 presents Results and discussion, and finally Section 5 is on conclusion and recommendation.
2. Literature Review
2.1. Conceptual Review
The foreign exchange is one that is affected by many elements known as the environmental factors. These
elements can be divided into four categories that include economic, political, social and technological. Economic
issues usually include things such as inflation, exchange rate and a country's growth and health in relation to their
money. As a general rule, a country with a consistently lower inflation rate exhibits a rising currency value, as its
purchasing power increases relative to other currencies (Van Bergen, 2010). Those countries with higher inflation
typically see depreciation in their currency in relation to the currencies of their trading partners. Interest rates,
inflation and exchange rates are all highly correlated. By manipulating interest rates, regulatory authorities exert
influence over both inflation and exchange rates, and changing interest rates impact inflation and currency values.
Higher interest rates offer lenders in an economy a higher return relative to other countries. Therefore, higher interest
rates attract foreign capital and cause the exchange rate to rise.
Political factors like political stability, democratic rule, and change in government have a great influence on the
foreign exchange market and the economy as a whole. Foreign investors inevitably seek out stable countries with
strong economic performance in which to invest their capital. A country with such positive attributes will draw
investment funds away from other countries perceived to have more political and economic risk. Political turmoil,
for example, can cause a loss of confidence in a currency and a movement of capital to the currencies of more stable
countries. Every country is different and every country has a unique mindset. These mindsets cast an impact on the
businesses and the sales of their products and services; The social implications, the gender and connected
demographics, the social lifestyles, the domestic structures affect not only the domestic market but the international
market as a whole (Popa, 2012). Nigeria is a volatile country. It is about equally divided among Christians and
Muslims, which makes it prone to religious strife. In addition, there are a number of rebel groups operating in
Nigeria, especially in the delta of the river Niger. Political and social unrest in Nigeria is always likely and could
have a huge impact on the country's exchange rate.
Technology has a great influence a country and its currency. Technology changes every minute and therefore
companies need to stay connected along the way and integrate as and when needed. Also, these factors are analyzed
to understand how the consumers react to technological trends and how they utilize them for their benefit. (Cadle et
al., 2010).
Researcher Conceptual Model 2017
International Journal of Economics and Financial Research, 2017, 3(4): 39-43
41
2.2. Empirical Review
Rodriguez (2016) concentrated on the determinants of exchange rate administration decision between 1985 and
2010 for 20 Latin American nations utilizing an ordered board probit that considers economic, political and
institutional components. The review showed fixed exchange rate administrations are connected with little and open
economies with respect to trade and financial flows. The bigger the tradable segments are, the more outlandish it is
that a legislature will peg its money. Additionally, the nature of political organizations, political quality and validity
have an impact on how conversion scale administrations are set. Democracy and political stability are associated
with flexible exchange rate regimes.
Amin and El-Sakka (2016) empirically determined the relationship between oil price fluctuations and
movements in the dollar-pegged Gulf Cooperation Council (GCC) countries’ exchange rates. findings indicate that
the series are integrated of order one and evidence is found that oil prices and GDP per capita have a long run co-
integration relationship with real exchange rates.
3. Materials and Methodology
The fluctuations of foreign exchange in Nigeria up to its present state is influenced by a number of factors such
as the changing pattern of international trade, institutional changes in the economy and structural shifts in
production. The study used secondary data to determine the influence of environmental factors. The secondary data
was collected from already published data of Nigerian foreign trade pattern, Balance of Trade, tax and regulations
guiding the Nigerian foreign exchange. Data from 1973 -2015 (43years) was used for analysis because Nigerian
currency (Naira) started in 1973.
The data was analysed using multiple regressions to determine the relationship between the dependent and the
independent variables. For the environmental factors used for analysis, political variables are change in
government and Democratic rule. Economical variables are Interest rate spread and Inflation. Social variable used
is the Population growth and technological variables are Fuel exports and technology export.
Hence, the accessed relationship that exists between the identified variables in the model specification is stated
thus:
(OER)t = β0 + β1(IRS) + β2(ICP) t + β3(FEM)t + β4(DMR))t + β5(CIG)t + β6(PGR)t + β7(TEX)t + ε
……………………………………………………………………….. (1)
Where,
OER = Official exchange rate (LCU per US$, period average)
IRS = Interest rate spread (lending rate minus deposit rate, %)
ICP = Inflation, consumer prices (annual %)
FEM = Fuel exports (% of merchandise exports)
DMR = Democratic rule binary variable which is unity if the country is on a democratic rule at time t,
CIG = change in government binary variable which is unity if there is a change in the country government at time t
PGR = Population growth (annual %)
TEX =technology export (ICT service, Communications, computer, etc. (% of service exports, BoP)
β = coefficients, and
εt represents the myriad of other influences on exchange rate, assumed to be well behaved.
4. Results and Discussion
Results of the regression analysis and associated estimated models are presented and evaluated below. The
isolated effects, t-statistics and associated probabilities are summarized in the table 1 below.
Table-1. Specific Effects of Environmental Factors on Foreign Exchange Market
Index or
Variable
Coefficient
(βi)
t-stat P-value Greater or Less Than 0.05
Significance Level
Significance
IRS 7.981338 2.571698 0.0145 Less Yes
ICP -0.447225 -1.206496 0.2357 Greater No
FEM -4.031844 -2.228681 0.0324 Less Yes
DMR 74.78494 5.121572 0.0000 Less Yes
CIG -6.315553 -0.503467 0.6178 Greater No
PGR -52.67280 -1.177307 0.2470 Greater No
TEX 0.016726 0.059909 0.9526 Greater No
Source: EViews7 Regression Output (See Appendix I)
Estimated Model:
(OER)t = 503.06 + 7.98(IRS) – 0.45(ICP) t – 4.03(FEM)t + 74.78 (DMR))t – 6.32(CIG)t – 52.67(PGR)t + 0.02
(TEX)t + ε
Table 1 above shows that the probability associated with the t-statistic of coefficient IRS is less than the
specified 0.05 level of significance. That is, probability ( p-value = 0.0145) < 0.05 with regression co-efficient B1=
International Journal of Economics and Financial Research, 2017, 3(4): 39-43
42
7.98. This indicates that the isolated effect of IRS is positive and significant. Consequently, it can be concluded that,
in isolation, IRS in this study exert a positive significant impact on OER. This implies that a unit increase in IRS
(Interest Rate Spread) causes an increase in OER (Official Exchange Rate).
The probability associated with the t-statistic of coefficient ICP is greater than the specified 0.05 level of
significance. That is, probability ( p-value = 0.2357) > 0.05 with regression co-efficient B2= -0.45 This indicates that
the isolated effect of ICP is negative and insignificant. Consequently, it can be concluded that, in isolation, ICP in
this study exert an insignificant impact on OER. Thus implying that ICP (Inflation Consumer Prices) has a negative
relationship with OER (Official Exchange Rate), meaning that an increase in ICP will result into a corresponding
decrease in OER.
In the case of Fuel Exports as a percentage of Merchandise Exports (FEM), the probability associated with the t-
statistic of coefficient FEM is less than the specified 0.05 level of significance. That is, probability ( p-value =
0.0324) < 0.05 with regression co-efficient B3= -4.03 This indicated that although the isolated effect of FEM is
negative yet the impact on OER is significant. Therefore, in isolation, FEM in this study exert a negative significant
impact on OER. This implies that a unit increase in FEM will result in decline of OER.
For Democratic Rule (DMR), the probability associated with the t-statistic of coefficient DMR is less than the
specified 0.05 level of significance. That is, probability ( p-value = 0.0000) < 0.05 with regression co-efficient B4=
74.78 This indicated that the isolated effect of DMR is positive and significant to OER. Therefore, in isolation, DMR
(Democratic Rule) in this study exerts a positive significant impact on OER (Official Exchange Rate). This implies
that a unit increase in DMR will increase OER and vice versa.
For Change in Government (CIG) however, the probability associated with the t-statistic of coefficient CIG is
greater than the specified 0.05 level of significance. That is, probability (p-value = 0.6178) > 0.05 with regression
co-efficient B5= -6.32. This indicated that the isolated effect of CIG is negative and insignificant to OER. Therefore,
in isolation, the impact of CIG in this study is insignificant on OER. Thus, it can be concluded that as CIG increases,
OER decreases.
The probability associated with the t-statistic of coefficient Population Growth (PGR) is greater than the
specified 0.05 level of significance. That is, probability ( p-value = 0.2470) > 0.05 with regression co-efficient B6= -
52.67. This indicated that the isolated effect of PGR is negative and insignificant to OER. Therefore, in isolation, the
impact of PGR in this study is insignificant on OER. Thus implying that an increase in PGR, will result to a
corresponding decrease in OER.
Lastly, the probability associated with the t-statistic of coefficient Technology Export (TEX) is greater than the
specified 0.05 level of significance. That is, probability ( p-value = 0.9526) > 0.05 with regression co-efficient B7=
0.02. This indicated that the isolated effect of TEX is positive but insignificant to OER. Therefore, in isolation, TEX
has no significant impact on OER, although a unit increases in TEX results in an increase in OER.
4.1. Overall Effect of Environmental Factors on Foreign Exchange Market in Nigeria
The F-statistics, associated probabilities and significance or otherwise of overall effects of environmental factors
on foreign exchange market in Nigeria is as summarized in table 2 below.
Table-2. F-Statistic, P-Value, Level of Significance and Decision
F-Statistic P-Value Greater or Less than the 0.05 Level
of Significance?
Decision on Overall Effect or
Relevance
15.92999 0.000000 Less Significant
Source: EView7 Regression Output (See Appendix I)
Recall that the main objective of the study is to establish the impact of environmental factors on foreign
exchange market in Nigeria and that the study seeks to answer the research question on what extent do
environmental factors impact on foreign exchange market in Nigeria.
Study Proposition: Environmental factors impact on foreign exchange market in Nigeria.
As shown in table 2 above, the probability associated with the respective F-statistics is less than the specified
0.05 level of significance. That is, probability (F-statistic = 0.0000) < 0.05. This implies that the components of
environmental factors have significant impact on foreign exchange market in Nigeria. Therefore, it can be
concluded, on the basis of this analysis, that environmental factors impact on foreign exchange market in Nigeria.
The degree of Environmental Factors Impact on Foreign Exchange Market in Nigeria using the coefficient of
multiple determination (R-squared), adjusted coefficient of multiple determination (Adjusted R-squared) of
environmental factors and foreign exchange market are discussed in Table 3 below.
Table-3. R-Squared, Adjusted R-Squared and Variations Explained
R-Squared Adjusted R-Squared Variation Explained* Variation Unexplained
0.761108 0.713330 76.11% 23.89%
Source: EViews7 Regression Output (See Appendix I)
* R-Squared expressed as a percentage
As shown in table 3, the degree of the environmental factors impact explains 76.11% of the variations in the
Nigerian foreign exchange market. This shows a very strong positive correlation. Thus, providing empirical evidence
that the extent to which foreign exchange market vary in Nigeria is explained mainly by environmental factors.
International Journal of Economics and Financial Research, 2017, 3(4): 39-43
43
5. Conclusion and Recommendation
The Nigerian naira came into circulation in 1973 and since then it has experienced various fluctuations in the
official exchange rate. Different factors are said to have varying impact on the exchange rate of a country therefore
the study analysed the impact of environmental (PEST) factors on the Nigerian currency.
In conclusion, the analysis of the Environmental Factors effects on the Nigerian Foreign Exchange market show
the followings: The political variables, such as Change In Government is not significant while Democratic Rule is
significant; Economical variables such as Interest Rate Spread has a positive significant impact while Inflation is not
significant; Social variable (Population growth) has no significant impact; Technological variables such as Fuel
Exports is significant while Technology Export is not significant.
Judging from the above, it is recommended that relevant stake holders should pay proper attention to those
environmental factors with significant impact on our Foreign Exchange Market. The Government should ensure we
have a stable and continuous democratic government. Our policy issues should be taken seriously and those policies
that will enhance stable Interest rate should be properly implemented. There should be collaboration with
stakeholders in the industry to ensure that economic indices are continuously monitored so as to make sure that
Inflation is kept at the barest minimum. In addition to these, activities in the petroleum industry have been shown to
impact significantly on our foreign exchange market. Hence, the Government should be up-and-doing on this, by
ensuring that the relevant organs are well equipped with adequate resources to reduce this impact.
Reference
Amin, Z. A. and El-Sakka, M. I. T. (2016). Determining real exchange rate fluctuations in the Oil-Based GCC
Economies. Asian Economic and Financial Review, 6(7): 374-89.
Anajekwu, U. D. and Usman, O. A. (2013). The effects of foreign exchange regimes on industrial growth in Nigeria.
East London-South Africa. 15.
Cadle, J., Paul, D. and Turner, P. (2010). Business analysis techniques: 72 essential tools for success. BCS, The
Chartered Institute.
Gupta, A. (2013). Environmental and pest analysis: An approach to external business environment. Merit Research
Journal of Art, Social Science and Humanities, 1(2): 013-17.
Patel, P. J., Patel, N. J. and Patel, A. R. (2014). Factors affecting currency exchange rate, economical formulas and
prediction models. International Journal of Application or Innovation in Engineering & Management, 3(3):
53-56.
Popa, A. M. (2012). The impact of social factors on economic growth: Empirical evidence for Romania and
European Union Countries. Romanian Journal of Fiscal Policy (RJFP), 3(2): 1-16.
Rodriguez, C. M. (2016). Economic and political determinants of exchange rate regimes: The case of Latin America.
International Economics, 147(October): 1–26.
Scholte, J. A. (2008). Defining globalisation. The World Economy, 31(11): 1471-502.
Van Bergen, J. (2010). Forces behind exchange rates. Investopedia/Forbes.
Appendix 1
Dependent Variable: OER
Method: Least Squares
Date: 10/18/16 Time: 23:06
Sample: 1973 2015
Included observations: 43
Variable Coefficient Std. Error t-Statistic Prob.
IRS 7.981338 3.103529 2.571698 0.0145
ICP -0.447225 0.370681 -1.206496 0.2357
FEM -4.031844 1.809072 -2.228681 0.0324
DMR 74.78494 14.60195 5.121572 0.0000
CIG -6.315553 12.54412 -0.503467 0.6178
PGR -52.67280 44.74006 -1.177307 0.2470
TEX 0.016726 0.279199 0.059909 0.9526
C 503.0624 230.9967 2.177791 0.0362
R-squared 0.761108 Mean dependent var 58.23930
Adjusted R-squared 0.713330 S.D. dependent var 65.74906
S.E. of regression 35.20309 Akaike info criterion 10.12639
Sum squared resid 43374.00 Schwarz criterion 10.45405
Log likelihood -209.7173 Hannan-Quinn criter. 10.24722
F-statistic 15.92999 Durbin-Watson stat 0.830910
Prob(F-statistic) 0.000000

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Impact of Environmental Factors on Foreign Exchange Fluctuations in Nigeria

  • 1. International Journal of Economics and Financial Research ISSN(e): 2411-9407, ISSN(p): 2413-8533 Vol. 3, No. 4, pp: 39-43, 2017 URL: http://arpgweb.com/?ic=journal&journal=5&info=aims *Corresponding Author 39 Academic Research Publishing Group Impact of Environmental Factors on Foreign Exchange Fluctuations in Nigeria Akinyede O. M.* (PhD) Department of Financial Studies, Redeemer University Ede, Nigeria Iriobe G. O. Department of Financial Studies, Redeemer University Ede, Nigeria Afolabi T. S. Department of Financial Studies, Redeemer University Ede, Nigeria Eniola O. A. Federal College of animal health and Production technology, Ibadan, Nigeria 1. Introduction The world is fast becoming a global market where individual nations link their economics directly or indirectly through trade and foreign exchange. The amount of foreign currencies in relation to local currency (foreign exchange) is substantial in the knowledge of globalisation (Scholte, 2008). Currency market is actually a global and decentralized financial market where currencies are transacted openly by individuals, businesses, government and others. It is the world's largest market by any standard. The medium of international exchange is highly uncertain and unpredictable which has various factors affecting movement of foreign exchange (Patel et al., 2014).The Nigerian foreign exchange market has witnessed various changes which are determined by a number of antecedents. In the business market there is so much competition that companies sell outside their countries to increase sales. Increasing internationalization of business requires the use of different currencies. Environmental factors are the irrepressible powers influencing the foreign trade market they are identifiable component in technological, economic, social and political, environment that influences the survival, operations, and development of any sectors (Gupta, 2013). The currency exchange market is an intricate and delicate market having a comprehension of the environmental factors influencing the volatility and participation. Prior to the establishment of the Central Bank of Nigeria (CBN) in1958 and the enactment of the Exchange Control Act of 1962, currency exchange was earned by the private segment and held in accounts abroad by commercial banks which went about as operators for exporters (Anajekwu and Usman, 2013). Environmental factors cause fluctuation in the foreign exchange and has brought about an unstable financial sector which also has affected other operators within industry and commerce who are players in the international market. Environmental factor also known as PEST factor (Political, Economical, Social and Technological) may have a negative effect on international business transactions which will have a ripple effect on the economy as a Abstract: The study tried to examine the effect of environmental forces on foreign exchange market in Nigeria. The PEST- Political variables such as change in government (CIG) and democratic rule (DMR); Economical variables such as interest rate spread (IRS) and inflation in consumer prices (ICP); Social variable like population growth (PGR); and Technological variables such as fuel exports in merchandise (FEM) and technology export (TEX) were used to evaluate the impact these environmental factors have on foreign exchange market (official exchange rate). This study employed a time series data with the time frame 1973- 2015. A multiple regression model was developed and analyzed using the ordinary least square method (OLS) with the help of E-views, a statistical package. The result showed that in isolation, IRS, FEM and DMR significantly influenced dealing rates in the Nigerian foreign exchange market while ICP, CIG, PGR, and TEX did not show any significant influence on foreign exchange market in Nigeria. However, the overall result showed a significant positive relationship between the environmental forces and the foreign exchange market in Nigeria with a p -value of 0.000000. We therefore concluded that environmental factors have significant influence on the Nigerian Foreign Exchange market. Hence, we recommended that relevant stake holders should pay proper attention to those environmental factors with significant impact on our Foreign Exchange Market in Nigeria. Keywords: Change in Government (CIG); Democratic Rule (DMR); Interest Rate Spread (IRS); Inflation in Consumer Prices (ICP); Population Growth (PGR); Fuel Exports in Merchandise (FEM) and Technology Export (TEX).
  • 2. International Journal of Economics and Financial Research, 2017, 3(4): 39-43 40 whole. In this light, this study examined the effect of environmental factors on foreign exchange fluctuations in Nigeria. 1.1. Research Questions This study seeks to answer this question: to what extent do these environmental factors affect foreign exchange market in Nigeria? The specific questions are: 1. What effect does Interest Rate Risk have on Official Exchange Rate in Nigeria? 2. Is there any relationship between Inflation in Consumer Prices and Official Exchange Rate? 3. What influence does a Fuel export have on Official Exchange Rate in Nigeria? 4. What is the relationship between Democratic rule and official Exchange Rate? 5. What impact does Change in Government have on Official Exchange Rate in Nigeria? 6. Is there any relationship between Population Growth and Official Exchange Rate? 7. Is there any relationship between technology export and Official exchange Rate in Nigeria? The paper is structured with the second Section on literature review; Section 3 presents materials and methods, Section 4 presents Results and discussion, and finally Section 5 is on conclusion and recommendation. 2. Literature Review 2.1. Conceptual Review The foreign exchange is one that is affected by many elements known as the environmental factors. These elements can be divided into four categories that include economic, political, social and technological. Economic issues usually include things such as inflation, exchange rate and a country's growth and health in relation to their money. As a general rule, a country with a consistently lower inflation rate exhibits a rising currency value, as its purchasing power increases relative to other currencies (Van Bergen, 2010). Those countries with higher inflation typically see depreciation in their currency in relation to the currencies of their trading partners. Interest rates, inflation and exchange rates are all highly correlated. By manipulating interest rates, regulatory authorities exert influence over both inflation and exchange rates, and changing interest rates impact inflation and currency values. Higher interest rates offer lenders in an economy a higher return relative to other countries. Therefore, higher interest rates attract foreign capital and cause the exchange rate to rise. Political factors like political stability, democratic rule, and change in government have a great influence on the foreign exchange market and the economy as a whole. Foreign investors inevitably seek out stable countries with strong economic performance in which to invest their capital. A country with such positive attributes will draw investment funds away from other countries perceived to have more political and economic risk. Political turmoil, for example, can cause a loss of confidence in a currency and a movement of capital to the currencies of more stable countries. Every country is different and every country has a unique mindset. These mindsets cast an impact on the businesses and the sales of their products and services; The social implications, the gender and connected demographics, the social lifestyles, the domestic structures affect not only the domestic market but the international market as a whole (Popa, 2012). Nigeria is a volatile country. It is about equally divided among Christians and Muslims, which makes it prone to religious strife. In addition, there are a number of rebel groups operating in Nigeria, especially in the delta of the river Niger. Political and social unrest in Nigeria is always likely and could have a huge impact on the country's exchange rate. Technology has a great influence a country and its currency. Technology changes every minute and therefore companies need to stay connected along the way and integrate as and when needed. Also, these factors are analyzed to understand how the consumers react to technological trends and how they utilize them for their benefit. (Cadle et al., 2010). Researcher Conceptual Model 2017
  • 3. International Journal of Economics and Financial Research, 2017, 3(4): 39-43 41 2.2. Empirical Review Rodriguez (2016) concentrated on the determinants of exchange rate administration decision between 1985 and 2010 for 20 Latin American nations utilizing an ordered board probit that considers economic, political and institutional components. The review showed fixed exchange rate administrations are connected with little and open economies with respect to trade and financial flows. The bigger the tradable segments are, the more outlandish it is that a legislature will peg its money. Additionally, the nature of political organizations, political quality and validity have an impact on how conversion scale administrations are set. Democracy and political stability are associated with flexible exchange rate regimes. Amin and El-Sakka (2016) empirically determined the relationship between oil price fluctuations and movements in the dollar-pegged Gulf Cooperation Council (GCC) countries’ exchange rates. findings indicate that the series are integrated of order one and evidence is found that oil prices and GDP per capita have a long run co- integration relationship with real exchange rates. 3. Materials and Methodology The fluctuations of foreign exchange in Nigeria up to its present state is influenced by a number of factors such as the changing pattern of international trade, institutional changes in the economy and structural shifts in production. The study used secondary data to determine the influence of environmental factors. The secondary data was collected from already published data of Nigerian foreign trade pattern, Balance of Trade, tax and regulations guiding the Nigerian foreign exchange. Data from 1973 -2015 (43years) was used for analysis because Nigerian currency (Naira) started in 1973. The data was analysed using multiple regressions to determine the relationship between the dependent and the independent variables. For the environmental factors used for analysis, political variables are change in government and Democratic rule. Economical variables are Interest rate spread and Inflation. Social variable used is the Population growth and technological variables are Fuel exports and technology export. Hence, the accessed relationship that exists between the identified variables in the model specification is stated thus: (OER)t = β0 + β1(IRS) + β2(ICP) t + β3(FEM)t + β4(DMR))t + β5(CIG)t + β6(PGR)t + β7(TEX)t + ε ……………………………………………………………………….. (1) Where, OER = Official exchange rate (LCU per US$, period average) IRS = Interest rate spread (lending rate minus deposit rate, %) ICP = Inflation, consumer prices (annual %) FEM = Fuel exports (% of merchandise exports) DMR = Democratic rule binary variable which is unity if the country is on a democratic rule at time t, CIG = change in government binary variable which is unity if there is a change in the country government at time t PGR = Population growth (annual %) TEX =technology export (ICT service, Communications, computer, etc. (% of service exports, BoP) β = coefficients, and εt represents the myriad of other influences on exchange rate, assumed to be well behaved. 4. Results and Discussion Results of the regression analysis and associated estimated models are presented and evaluated below. The isolated effects, t-statistics and associated probabilities are summarized in the table 1 below. Table-1. Specific Effects of Environmental Factors on Foreign Exchange Market Index or Variable Coefficient (βi) t-stat P-value Greater or Less Than 0.05 Significance Level Significance IRS 7.981338 2.571698 0.0145 Less Yes ICP -0.447225 -1.206496 0.2357 Greater No FEM -4.031844 -2.228681 0.0324 Less Yes DMR 74.78494 5.121572 0.0000 Less Yes CIG -6.315553 -0.503467 0.6178 Greater No PGR -52.67280 -1.177307 0.2470 Greater No TEX 0.016726 0.059909 0.9526 Greater No Source: EViews7 Regression Output (See Appendix I) Estimated Model: (OER)t = 503.06 + 7.98(IRS) – 0.45(ICP) t – 4.03(FEM)t + 74.78 (DMR))t – 6.32(CIG)t – 52.67(PGR)t + 0.02 (TEX)t + ε Table 1 above shows that the probability associated with the t-statistic of coefficient IRS is less than the specified 0.05 level of significance. That is, probability ( p-value = 0.0145) < 0.05 with regression co-efficient B1=
  • 4. International Journal of Economics and Financial Research, 2017, 3(4): 39-43 42 7.98. This indicates that the isolated effect of IRS is positive and significant. Consequently, it can be concluded that, in isolation, IRS in this study exert a positive significant impact on OER. This implies that a unit increase in IRS (Interest Rate Spread) causes an increase in OER (Official Exchange Rate). The probability associated with the t-statistic of coefficient ICP is greater than the specified 0.05 level of significance. That is, probability ( p-value = 0.2357) > 0.05 with regression co-efficient B2= -0.45 This indicates that the isolated effect of ICP is negative and insignificant. Consequently, it can be concluded that, in isolation, ICP in this study exert an insignificant impact on OER. Thus implying that ICP (Inflation Consumer Prices) has a negative relationship with OER (Official Exchange Rate), meaning that an increase in ICP will result into a corresponding decrease in OER. In the case of Fuel Exports as a percentage of Merchandise Exports (FEM), the probability associated with the t- statistic of coefficient FEM is less than the specified 0.05 level of significance. That is, probability ( p-value = 0.0324) < 0.05 with regression co-efficient B3= -4.03 This indicated that although the isolated effect of FEM is negative yet the impact on OER is significant. Therefore, in isolation, FEM in this study exert a negative significant impact on OER. This implies that a unit increase in FEM will result in decline of OER. For Democratic Rule (DMR), the probability associated with the t-statistic of coefficient DMR is less than the specified 0.05 level of significance. That is, probability ( p-value = 0.0000) < 0.05 with regression co-efficient B4= 74.78 This indicated that the isolated effect of DMR is positive and significant to OER. Therefore, in isolation, DMR (Democratic Rule) in this study exerts a positive significant impact on OER (Official Exchange Rate). This implies that a unit increase in DMR will increase OER and vice versa. For Change in Government (CIG) however, the probability associated with the t-statistic of coefficient CIG is greater than the specified 0.05 level of significance. That is, probability (p-value = 0.6178) > 0.05 with regression co-efficient B5= -6.32. This indicated that the isolated effect of CIG is negative and insignificant to OER. Therefore, in isolation, the impact of CIG in this study is insignificant on OER. Thus, it can be concluded that as CIG increases, OER decreases. The probability associated with the t-statistic of coefficient Population Growth (PGR) is greater than the specified 0.05 level of significance. That is, probability ( p-value = 0.2470) > 0.05 with regression co-efficient B6= - 52.67. This indicated that the isolated effect of PGR is negative and insignificant to OER. Therefore, in isolation, the impact of PGR in this study is insignificant on OER. Thus implying that an increase in PGR, will result to a corresponding decrease in OER. Lastly, the probability associated with the t-statistic of coefficient Technology Export (TEX) is greater than the specified 0.05 level of significance. That is, probability ( p-value = 0.9526) > 0.05 with regression co-efficient B7= 0.02. This indicated that the isolated effect of TEX is positive but insignificant to OER. Therefore, in isolation, TEX has no significant impact on OER, although a unit increases in TEX results in an increase in OER. 4.1. Overall Effect of Environmental Factors on Foreign Exchange Market in Nigeria The F-statistics, associated probabilities and significance or otherwise of overall effects of environmental factors on foreign exchange market in Nigeria is as summarized in table 2 below. Table-2. F-Statistic, P-Value, Level of Significance and Decision F-Statistic P-Value Greater or Less than the 0.05 Level of Significance? Decision on Overall Effect or Relevance 15.92999 0.000000 Less Significant Source: EView7 Regression Output (See Appendix I) Recall that the main objective of the study is to establish the impact of environmental factors on foreign exchange market in Nigeria and that the study seeks to answer the research question on what extent do environmental factors impact on foreign exchange market in Nigeria. Study Proposition: Environmental factors impact on foreign exchange market in Nigeria. As shown in table 2 above, the probability associated with the respective F-statistics is less than the specified 0.05 level of significance. That is, probability (F-statistic = 0.0000) < 0.05. This implies that the components of environmental factors have significant impact on foreign exchange market in Nigeria. Therefore, it can be concluded, on the basis of this analysis, that environmental factors impact on foreign exchange market in Nigeria. The degree of Environmental Factors Impact on Foreign Exchange Market in Nigeria using the coefficient of multiple determination (R-squared), adjusted coefficient of multiple determination (Adjusted R-squared) of environmental factors and foreign exchange market are discussed in Table 3 below. Table-3. R-Squared, Adjusted R-Squared and Variations Explained R-Squared Adjusted R-Squared Variation Explained* Variation Unexplained 0.761108 0.713330 76.11% 23.89% Source: EViews7 Regression Output (See Appendix I) * R-Squared expressed as a percentage As shown in table 3, the degree of the environmental factors impact explains 76.11% of the variations in the Nigerian foreign exchange market. This shows a very strong positive correlation. Thus, providing empirical evidence that the extent to which foreign exchange market vary in Nigeria is explained mainly by environmental factors.
  • 5. International Journal of Economics and Financial Research, 2017, 3(4): 39-43 43 5. Conclusion and Recommendation The Nigerian naira came into circulation in 1973 and since then it has experienced various fluctuations in the official exchange rate. Different factors are said to have varying impact on the exchange rate of a country therefore the study analysed the impact of environmental (PEST) factors on the Nigerian currency. In conclusion, the analysis of the Environmental Factors effects on the Nigerian Foreign Exchange market show the followings: The political variables, such as Change In Government is not significant while Democratic Rule is significant; Economical variables such as Interest Rate Spread has a positive significant impact while Inflation is not significant; Social variable (Population growth) has no significant impact; Technological variables such as Fuel Exports is significant while Technology Export is not significant. Judging from the above, it is recommended that relevant stake holders should pay proper attention to those environmental factors with significant impact on our Foreign Exchange Market. The Government should ensure we have a stable and continuous democratic government. Our policy issues should be taken seriously and those policies that will enhance stable Interest rate should be properly implemented. There should be collaboration with stakeholders in the industry to ensure that economic indices are continuously monitored so as to make sure that Inflation is kept at the barest minimum. In addition to these, activities in the petroleum industry have been shown to impact significantly on our foreign exchange market. Hence, the Government should be up-and-doing on this, by ensuring that the relevant organs are well equipped with adequate resources to reduce this impact. Reference Amin, Z. A. and El-Sakka, M. I. T. (2016). Determining real exchange rate fluctuations in the Oil-Based GCC Economies. Asian Economic and Financial Review, 6(7): 374-89. Anajekwu, U. D. and Usman, O. A. (2013). The effects of foreign exchange regimes on industrial growth in Nigeria. East London-South Africa. 15. Cadle, J., Paul, D. and Turner, P. (2010). Business analysis techniques: 72 essential tools for success. BCS, The Chartered Institute. Gupta, A. (2013). Environmental and pest analysis: An approach to external business environment. Merit Research Journal of Art, Social Science and Humanities, 1(2): 013-17. Patel, P. J., Patel, N. J. and Patel, A. R. (2014). Factors affecting currency exchange rate, economical formulas and prediction models. International Journal of Application or Innovation in Engineering & Management, 3(3): 53-56. Popa, A. M. (2012). The impact of social factors on economic growth: Empirical evidence for Romania and European Union Countries. Romanian Journal of Fiscal Policy (RJFP), 3(2): 1-16. Rodriguez, C. M. (2016). Economic and political determinants of exchange rate regimes: The case of Latin America. International Economics, 147(October): 1–26. Scholte, J. A. (2008). Defining globalisation. The World Economy, 31(11): 1471-502. Van Bergen, J. (2010). Forces behind exchange rates. Investopedia/Forbes. Appendix 1 Dependent Variable: OER Method: Least Squares Date: 10/18/16 Time: 23:06 Sample: 1973 2015 Included observations: 43 Variable Coefficient Std. Error t-Statistic Prob. IRS 7.981338 3.103529 2.571698 0.0145 ICP -0.447225 0.370681 -1.206496 0.2357 FEM -4.031844 1.809072 -2.228681 0.0324 DMR 74.78494 14.60195 5.121572 0.0000 CIG -6.315553 12.54412 -0.503467 0.6178 PGR -52.67280 44.74006 -1.177307 0.2470 TEX 0.016726 0.279199 0.059909 0.9526 C 503.0624 230.9967 2.177791 0.0362 R-squared 0.761108 Mean dependent var 58.23930 Adjusted R-squared 0.713330 S.D. dependent var 65.74906 S.E. of regression 35.20309 Akaike info criterion 10.12639 Sum squared resid 43374.00 Schwarz criterion 10.45405 Log likelihood -209.7173 Hannan-Quinn criter. 10.24722 F-statistic 15.92999 Durbin-Watson stat 0.830910 Prob(F-statistic) 0.000000