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This strategic business analysis develops Ryan Air’s long
Executive Summary
This strategic business analysis develops Ryan Air’s long term vision and the environmental implications surrounding the company and its strategies to counter the implications. A scrutiny of the future threats and possibilities also accompanies the analysis. In addition, the business analysis also demonstrates how Ryanair exhibits its capability through employment of its internal resource power to handle the impact of competition in the market and other challenges that accrue to from the changes in the external and internal environments. Ryanair was established in 1985 by the Ryan family as a passenger airline services provider. The passenger volumes increased toward the end of 1990 despite the market turbulence that had rocked the airline industry and Ryanair in particular which saw a high turnover in the top management of the company. The internal environment of the company also changed substantially when the CEO Michael O’Leary made a strategic decision to acquire its chief competitor in the market industry, Aer Lingus. And this proposition came when Ryanair had already acquired 19.2 % of the shares of the legacy national carrier.
In 20004 Ryanair took a market orientation which involved segmenting the market in terms of the income bracket and lifestyle. This was a tactic move to attract a wider base of the market in the European marketplace. The main stakeholders in the firm consist of the staff members who are responsible for the tactical decision making in the company and carrying out the company’s strategic objectives. The airline’s customers also form a very important part of the environment in which the company operates since the very customers determine how the airline makes its decisions; both strategic and tactical. For instance, when Ryanair introduced the price-based market segmentation, it basically meant to capture the customers across the income board. This is therefore a good use and application of the information a company has concerning the target market. Knowledge of the target market goes hand in hand with the Ryanair’s long-term mission of stakeholder satisfaction.
Environmental Analysis of Ryanair
1.Government Regulation and the political influence
The domestic governments in Europe together with the European Union have played a major role in the regulation of the airline industry in the region. Nevertheless, there has been a move toward more deregulated industry since 1980’s when the industry was liberalized through signing of bilateral agreement between the UK and Ireland. During the same period, the European Union got down to liberalization of the industry and put in an array of liberalization measures to be consistently applied within the territories of the Union. This liberalization therefore broke the monopolistic operation of the monopoly carrier; Aer Lingus. The liberalization by the EU made it possible for any airline to operate anywhere within the boundaries of the European Union without the worry of facing any restriction.
The government regulation and those of the European Union plays a major role and has great implications to the operation of Ryanair’s internal environment. Such areas that the regulation has had an impact are the flight hours of a pilot. The European Union has regulations which limit the flight hours of a pilot and this is a measure to put a check on the accidents which could result from dangerous fatigue of the pilot. Ryan complied with this regulation by maximizing on the crew productivity and time-off through tailored roasters to prevent dangerous fatigue on the part of the crew members.
The extent to which the government and other political authorities can affect the operation of the business was exhibited in 2006 when the European authorities announced to set up an in-depth inquiry into the offer in which Ryanair had proposed a merger intent with Aer Lingus. At this moment, Ryanair had 25.2% interest in the Aer Lingus and it disclosed that it would wait for the European Commission to clear the issue so that it could make a further offer. Thus, the decision made by the legal system has an immense impact in the ability of Ryanair to make a decision or execute a decision already made. For this case, the view by the European Commission was that Ryanair was engaging itself in competitive misgivings.
In early 20005 the EU effected a new regulation in the airline industry which was meant to reduce inconveniencing passengers through delays or cancellations and denied boarding. This regulation required that passengers be compensated for such inconveniences. In the absence of such compensation, the affected passenger must be accorded the free care and necessary while waiting for the rerouted flight. Thus if the airline cancels a passenger travel it must carter for such necessities as refreshments and accommodation. Otherwise, if the company cancels a customer flight then it might end up paying €600 to the passenger in terms of financial compensation.
2.General Macro-environment
This macro-environment describes all the factors that have an influence in the airline company and which the company has no direct control of whatsoever. Although the government regulation and political factor discussed above also fall under the macro-environment for the Ryanair, other factors are the wider social factors and the economic factors. The airline industry is very much affected by the changes that take place within the environment and at proximity level; these changes have had an impact on Ryanair as an airline service provider. In addition, several rapid and dramatic changes have taken place in the airline market environment in the past decades. The changes are either brought about by the industry-wide paradigm shift of the contemporary marketplace or the competitive pressures of the market at large. Ryanair boasts as the industry’s largest and most successful low fair airline in Europe. One of its major target markets is the leisure travel consumers and visiting friends and relatives.
3.Risks and challenges
Ryanair has faced diverse challenges most of which face the whole airline industry on the global perspective. One major challenge that has faced the Ryanair in the recent past is the uncertainty that accompanies the company’s extra capacity building in creation of new passenger flight routes. The success of the new routes it created through that program would not be predicted with precise certainty. For this reason, the company has to incur extra costs to finance extra marketing and in application of such promotional activities as discounting of fares during the launch of the new routes.
Rising fuel prices are also a contributing factor to the vulnerability of the airline company as the ability to plan for such expenditures with precision becomes as good as impossible. From 2005, there was a general rise in fuel prices and if this is coupled with a low-fare policy which Ryanair used then the possibility of passing the costs to the passengers by increasing fares is limited.
In the aftermath of the 2001 terrorist attack and other terrorist attacks on airliners, the airline industry faces the uncertainty in terms of the security of the stakeholders and operators in the industry. There have been frequent predictions of possible terrorism attacks on the UK and this inflicts an added risk to the airline industry, the holiday centers hence either an extra cost in the industry or reduced booking by customers who use services like the holiday centers. Volatility of the world events have a direct bearing to the fuel costs yet these events are unpredictable hence making fuel price fluctuations inflict additional risk to the airline industry. For instance, in 2006 about 35% of the operating costs of Ryanair represented the fuel costs.
Concerns over environmental issues, specifically the issue of greenhouse gases that originate from carbon emissions have had a great attention in both the political sphere and public at large. When the focus is directed particularly at the impact of aviation in carbon emissions, the airline industry the industry is affected due to the fact that there are uncertainties that surround the possibility of change in the regulation that govern some areas in the airline industry. For instance if the emissions caused by the aviation as predicted by the Oxford University, then the possible result is an increase in the fuel prices arising from increased taxation of the commodity. One strategy that the company has put in place to deal with such an occurrence is the deployment of aircrafts that are efficient in terms of fuel consumption and limited pollution.
3.Internal Environment and Internal Strength
The industrial relations of Ryanair with its staff is weighed down due to the refusal of the company to recognize labor unions. It has also come under criticism for purportedly providing poor working conditions to the employees. In terms of customer perception, Ryanair was voted as the least favorite airline in 2006 when a poll for travelers was conducted by the TripAdvisor. In the poll, travelers who disliked the mode of operation of the airline company in terms of customer service cited unfriendly staff.
In assessing other resources and assets, the company has a larger number of serviceable flight planes as compared to the competitors. It also maintains fleet commonality so that the costs of training staff and maintaining the aircraft as low as possible. By replacing the old fleet with the new one, Ryan has been able to cost-save especially the costs that would be incurred on extra crew. Despite the fact that the company offers lo-cost flight, it has been able to gain a competitive advantage over its competitors through cost saving methods like the ones highlighted.
4.Competition
Ryanair boasts as the favorite airline service provider when it comes to offering low-cost carrier eservices in Europe. For this reason it provides services for 30% of the passengers in the European airline market. The competition is however extensive with the closest competitor in terms of low-cost service being EasyJet. Market service coverage for EasyJet is about 26% of the total European airline passengers. The amount of competition is more extensive in the UK. Apart from EasyJet, there are also other airline service providers and the fact that each takes a particular percentage of the passengers available makes the competitive forces in the market quite complicated since directing a competitive strategy at one company is not possible.
5.Analysis of strategic options for Ryanair
As seen from the above evaluation of the internal and external environment of Ryanair, a major part of the influences that impact negatively on the company are not controllable by the company. This is especially applicable when looking at the factors in the macro-environment which have an impact on the airline company. One major option that remains for Ryanair is a change of the strategic orientation of the company so that more attention is put on the long-term success rather than the short-term success.
Safety is addressed seriously to avoid incurring avoidable costs. Maintaining an internal coordinated market research is also imperative for the company to know sensitive areas of customer satisfaction. This would be helpful in maintaining the consumer preference as an important part of the airline’s operation without making the investors feel that they are being subjected to unnecessary and avoidable costs.
6.Conclusion
Despite Ryanair having done poorly in terms of the industry general score in performance, it is still capable of making greater achievements by making use of the already available strategies. It must focus more on assuring the satisfaction in service delivery and have friendly staff. Another key objective of the company should be 5to control the macro-environment thus it should ensure more effort is put in marketing. Working to establish the consumer’s desires should be among the top priority objectives as well. With these born in mind, Ryanair is capable of unleashing tremendous competitive force in the European airline industry.
Reference:
Eleanor 0’Higgins (2007) “Ryanair – the low-fares airline:” university college Dublin: Republic of Ireland
This section presents both theoretical and empirical survey of the literature on the determinants of mortgage rates.
CHAPTER TWO 2.0 LITERATURE REVIEW
Over recent years, the Central bank of Kenya has carried out annual survey on the issues related to growth of resident mortgage. The findings have shown that mortgage rates are the main impediment to growth of this sector. Indeed the recent annual survey (Central Bank 2013) singled out mortgage rates as the main factor holding up uptake of mortgage in Kenya. This section presents both theoretical and empirical survey of the literature on the determinants of mortgage rates.
2:1 THEORETICAL LITERATURE According to Mandura (2009 pp 228) mortgage, can be defined as a type of a debt fashioned to back investment in real estate. The debt is protected by property; it therefore, follows that if the borrower fails to pay the property can be seized. Jacobus (2009 pp101) argues that mortgage is an instrument that makes property security for repayment of a debt. Mortgage therefore, is not conveyance of the property since it does not operate to transfer title from the borrower to the lender. It only pledges the property as security for the due payment of the debt, thus creating an encumbrance on the property.
2.1.1 DETERMINANTS AND COMPONENTS OF MORTGAGE INTEREST RATES
Mortgage rates differ from time to time and with regions. This section will examine the reasons why mortgage rates vary by studying its components which include: risk premium, liquidity premium, banks required margin and secondly, an analysis on factors influencing mortgage interest rates.
2.1.1.1 Risk premium
This constitutes the risk premium lenders want in their expected return. Roberts (2008 pp10) observes that investors have the information on how much they will earn from the treasury notes, however, they are uncertain on how much they will earn from fixed mortgage loan. Due to this, they will require an additional compensation, that is, the risk premium. Risk can be looked at from two perspectives; risk on realized ex post returns and risk on ex ante returns. The realized risk may either be more or less than expected; therefore, risk averse investors will demand a premium on ex ante returns. Investors are more concerned with the ex post return uncertainty since it cannot be diversified away (Geltner et.al 2007pp 477). The risk premium depends on the business cycle and when the economy is declining, risk premium increases but declines when the economy is growing. Forgang and Einolf (2007 pp95) notes that the difference between high risk debt instrument and lower risk one is considered as the economic pointer, so that if the variation between the two is decreasing the investors will expecting a strengthening economy. Lenders of FRMS are exposed to interest rate risk because these mortgages are financed from short term deposits. They rely on short term deposits to avail long term mortgages loans. Incase interest rates raise in due course; the financial institutions will incur an increased cost of obtaining funds, consequently, reducing their profits margin. On the other hand, borrowers will not benefit from reducing interest rates; however, they will not be affected by increasing rate.
Under ARMS, interest rate risk is shifted from the lenders to borrowers, since the rate keep fluctuating depending on the state of the economy. Mandura (2009 pp 243) argues that in FRMs the required rate depends on the current risk free rate and risk premium rate. In case, the risk free rate increases, investors will increase their required rate of return and consequently, mortgage prices increases.
2.1.1.2 Tax Rate and Lenders’ required margin
The tax on interest earned by lending institutions affects the mortgage rates. In Kenya interest incurred by borrowers in repayment of mortgage loan (owner occupied) is an allowable expense up to sh. 150, 000 per annum while mortgage institutions pay a corporate tax of 30 per cent. (Mukherjee 2005) It is the interaction of demand and supply factors that dictate interest rates. Events that affect income will cause a shift in the demand curve for loanable funds. If borrowers expect a decrease in future tax rates, they will increase their demand for loable funds, thus, the demand curve will shift outwards. According to a joint study by World Bank and IMF (2005) Kenyans interest rates spread are very close to those of the Sub Saharan countries but considerably higher than those of OECD countries. Then operating costs and profit margins were identified main determinants of interest rates spread. The overhead costs include: wages, security and inefficient payment system. In case a financial institution is not efficient enough it is likely to incur more operating costs that are passed on borrowers increasing the interest rates further. Lenders are likely to be more efficient in a competitive market than when there are just a few them. This is because they strive to streamline their system and reduce operation cost with a view of lowering their interest rates.
2.1.1.3 Liquidity premium
Liquidity of debt instrument refers to the easiness of converting them into cash without loss of value. Liquid money is preferable as opposed to other assets with a higher rate of return because it can used for transactions Investors require compensation by way of a premium for engaging their money in non liquid assets. Reilly and Brown (2011, p.652) Postulates that investors add increasing liquidity premiums to existing rates to arrive at the actual rates. Enrhard and Brigham (2010 pp 216) observes that the liquidity premium on mortgage backed securities in 2008 and 2009 in United States were much high because of the few transactions occasioned by financial crisis. Liquidity premiums depend on the lenders liquidity and the level of securitization in the economy.
2.1.2.1 Mortgage Rates and inflation-The Fisher Hypothesis
This theory asserts that there is one-for-one relationship between inflation and interest rates (Thomas 2005, pp 105).According to Domar (2012 pp. 516). Actual interest rate changes as inflation changes. Inflation erodes lenders purchasing power; since they are rational economic agents they will require reimbursement for the loss.
(1)
Where represents the nominal interest rate, r is the real interest rate and β is the extent to which nominal interest rate change as expected inflation change. In case the real interest rates are constant over time, β=1. Real interest rate is the disparity between the nominal interest rate and expected inflation (Domar, 2012 pp.402).
QUOTE Fisher Identity (2)
Pozdena (1988 pp27), observes that when lenders advance a loan they form some expectations about the probable rate of inflation. If they expect an inflation rate of 8 per cent per annum, they will incorporate 8 percent to the yearly interest rates. Therefore, an increase in inflation expectation will cause long term interest rates including mortgage rates to increase.
2.1.2.2 Central Bank Rate
It is the role of the central bank to control inflation. One of the instruments it uses to achieve this is the bank rate. Taylor (2006, pp.640) argues that when the inflation rises the central bank response by raising the nominal rate and as a consequence the real interest rates rises. Consequently, exports, consumption and investment reduce. The converse is true. Asso, et.al (2010) observes that the Taylor rule can be used to set the Central bank rate subject to some conditions and can be expressed by the following equation:
QUOTE (1)
Where,
r = central bank
y= deviation of GDP from the trend
p= inflation over previous four quarters with a target of 2%
The GDP is growing on its trend at about 2% per annum so that y=0
The ex post interest rate will also equal 2
2.1.2.3 Kenya Banks’ Reference Rate (KBRR)
KBRR is new reference rate set by the Central bank and replaces the base lending rate upon which banks were using to cost their loans. The reference rate is computed based on the base lending rate which now stands at 8.5 per cent and two months moving average of 91- day Treasury bill rate. The Monetary Policy Committee set the reference rate 9.13 per cent and is effective July 8th 2014. Following this move the total cost of credit will be KBRR plus premium ‘K’ that is,
(2)
K represents the premium rate and will depend on: banks required margin, cost of funds, risk and other third party cost such as insurance and government levies.
2.1.2.3 Bond Prices and Mortgage interest Rate
Killin and Derespins (2012 pp 42) observes that there is an inverse relationship between mortgage rates and bond prices; that is, when the prices of the bond increases, the mortgage rates decreases. The opposite is true. The reason behind this argument is that bond prices are unchanging at maturity. If we suppose that the value of the bond at maturity is sh.1, 000 and the present price of bond is sh. 900 and there are 5 years remaining, if the interest rates are escalating the prices of the bond will shift downwards.
2.1.2.4 Demand and Supply for Loans.
Following Keynes, Mankiw (2007 pp 749) argues that interest rates adjust to balance demand and supply for money. The adjustments in the interest charge can be explained by the demand and supply perception (Rockwell 2006 pp 260). If there is high demand for mortgage loans the interest rate will increase. On the other hand, low demand for mortgage rates is followed by low interest rates. Killin and Derespins (2012 pp 41) argues that while mortgage rates move with other interest rates, real rates depends with the supply and demand for mortgage loans. The supply of mortgage is determined by the willingness of the financial institutions to invest in the real estate. Moreover, lenders depend on supply of money which is determined by factors such as the amount of customer deposit and the prevailing interest rates in the market. The demand side depends on the income levels and the general economic conditions. Interest rates and money supply in view of short term liquidity effect are negatively correlated. In particular, an increase in money supply given an existing price level and income creates a surplus supply of money Demand for money is a function of nominal interest rates since interest rate is the opportunity of holding cash. Croushore (2007 pp 280) argues rise in the supply of money must cause interest rates to decrease so to sustain the money market in balance. In case the money supply is increasing that is, a rightward shift in the money supply curve without a corresponding shift in money demand curve the equilibrium interest rates declines. Similarly, if a shift in money supply is followed by a shift in money supply in the short run, the interest will not change. This implies that a monetary policy is ineffective in lowering the mortgage interest rates. On the other hand, the short run equilibrium interest rates may increase than before if an increase in supply for money is followed by an increase in demand for loans. An expansionary monetary policy may not bring interest rates down hence ineffective. Secondly, interest rates and money supply through real output and the price effect in the long run. Even in this case, expansionary policy may not be effective if the increase in money supply the resulting increase in real output and rising prices causes increase in demand since interest rates will also increase.
2:2 EMPIRICAL LITERATURE REVIEW
Sirmans and Smith (2012) did a study on the relationship between mortgage rates and Treasury bill rate. They found that there was a strong relationship between mortgage rate and capital market rate and especially the 10-year treasury rate. The method of examination was regression and the 30-year mortgage rate, 10-year treasury rate data was obtained from the Federal Reserve. When 30-year mortgage rate was regressed against 10-year treasury rate, there was an r- squared of 0.969. A 30-year mortgage rate was also regressed against Swap rate and corporate bond rate. Notably, the Swap rate was found to have a strong relationship (r-squared of 0.985) and with 30-year mortgage rate than 10-year treasury rate because there is a default risk premium not explained by treasury rate. These results were confirmed by recent studies done by Nampewo (2013). Using time series data from Uganda between 1995 and 2010 and applying Engel and Granger two step model he tested for cointegration between bank rate, treasury rate, exchange rate volatilities and share of nonperforming loans to the entire credit sector. The findings showed that interest rate spread was positively related with bank rate, treasury rate and level of nonperforming loans. Toolesman, Jan and Jacobs (2007) studied the proposition that prices are rigid downwards application to mortgage rates. In particular, the suggestion that mortgage rate follow an increase in capital market rate rather than decrease. A 10-year capital market rate running between 1978 and 2000 for Netherlands was used. It was found that during the period of downward movement in interest rates, the gap between the mortgage and the capital market rate was widening. They concluded that switching cost and tacit price coordination are the likely causes of mortgage rate asymmetric response to capital market rate.
Siddiqui (2012) found that banks that are highly liquid have lower interest rate spread. This is because they do not incur cost of sourcing funds externally. The results were confirmed by Millan (2008) where determinants of mortgage rates in the Euro area countries with emphasis on cost of funds, nature of guarantee and customer-banker relationship were investigated. Harmonized monthly interest rates for fifteen countries running between 2003 and 2009 were used. A 10-year benchmark interest rate on government bonds expressed in a monthly average was used as astand in for average cost funding in the financial market. In addition to that, the cost of interbank funding was represented by 3 month Euribor rate expressed in monthly average. From the study it was found that there was a strong positive relationship (0.43) between mortgage rates and cost of funds.
Mallik and Bhar (2010) using data from UK, Sweden and Finland and OLS as method of estimation concluded that the Central Bank increased interest rate when expected inflation increases. In related studies Ikhide (2009), Folowelwol and Tennant (2008) using a panel data model studied the determinants of interest rates spread in Sub Saharan Africa using dynamic panel data model. They singled out inflation and money supply as the key factors. On the contrary, Khediri et al (2005) did not find any significant relationship between inflation between inflation and interest margins. The findings were similar to recent study by Were and Wambua (2013) who concluded that inflation and real GDP statistically insignificant in explaining interest rates differences among banks. Using EGARCH M model, Wilson (2006) found that increased inflation uncertainity negatively affects interest rates and lowered economic growth in Japan. Mishkin (2005) using a monthly data between 1983 and 2003 found that inflation and interest rates are correlated in some periods and not in others. The findings confirmed Fisher-effect in the long run but not in the short run. In the short run when there a change in the expected inflation, it is followed by a change in the short term interest rates. In the long run inflation and interest rates, trend together, that is, the long run Fisher effect. Similar studies on relationship between prices and interest rates confirmed that inflation uncertainity affects the economy by increasing long term interest rates. More specifically, interest rise when inflation rises and falls when there is a greater economic risk. However, recent studies have shown that the monetary authority can control inflation uncercainity and as a result control inflation by adopting credible inflation targeting strategy (Mallik and Bhar 2010).
Bank particular factors have been argued to be some of the determinants of interest rates in the banking sector. Using Panel data, Were and Wambua (2013) found a positive relationship between interest rates charged by banks and credit risk, liquidity risk and net income as a ratio of total income and operating costs. The prevailing credit risk is reflected by risk premium charged by banks. Empirical evidence show that banks shift risks premium is associated with non performing loans to borrowers. Ngugi (2001) and Beck et.al (2010) utilizing Kenyan data, acknowledged risk premiums as a key determinants of interest rates spread. Risk is a situation in which alternative outcome exist with known probability. These findings confirmed past studies by Darrel et al (2008) which found out that when mortgage interest rates are adjusted for risk premium and statutory price ceilings, regional differentials disappeared. Casey et al (2009) observed that mortgage rates are linked to other interest rate. Moreover, maturity risks and default risks should capture those relationships. The more chances of default the higher the risk premiums which reflect the uncertainty of complete payment of mortgage principle and interest. The possible cost of default can be lowered by mortgage firms by taking an insurance cover.
Fazel (2006) studied the effect of expansionary monetary policy on mortgage rates in the US. Contrary to expectations, the study concluded that expansionary monetary policy geared towards inducing investment in housing will not lead to reduced mortgage rates. The analysis utilized multiple linear regression model and data covering the duration between 1990 and 2004 of mortgage and money supply (both M1 and M2). Consumer expectation was used as one of the independent variable based on their sentiments capture the general state of the economy. Remarkably, the results showed that changes in the money supply have no impact on mortgage. Nevertheless, in related studies by Casel (2005) it was found that supply of new houses influences mortgage rates.
2:3 OVERVIEW OF LITERATURE REVIEWFrom the studied literature, it is evident that most of the studies done covered Europe and United states. Most of studies in the region concentrated on factors determining demand for mortgage. This study will help bridge the gap by utilizing local data. It also appears that the main causes of mortgage rate is the levels of inflation, cost of deposit and the opportunity cost of money reflected by the bond rate. Other factors include bond prices, demand and supply and household income. Most of the studies concentrated on determining elasticities and variables were expressed in logarithms.
The study by Milan (2008) attempted to look at non macroeconomic (social-economic variables), for instance, efficiency of the civil justice arrangement. It was observed that there was a positive correlation between mortgage backed securities and the cost of justice. In countries where the cost of justice was prohibitive the financial institutions resulted to securitization, this allowed them to transfer the non performing loans. For this reason fixed mortgage rates are relatively expensive since financial institutions incorporated such cost in case the borrower defaulted.
The reviewed literature also shows that very little interest has been given to the effect of supply of loan to mortgage rates. This is probably because the number of mortgage firms have remained also the over a period of time. Similarly, very little attention has been given to the relationship between the demand for mortgage loans and mortgage rates. However, some studies have used the GDP per capita as a proxy for household income. This proxy can be used to measure demand, since (ceteris peribus) it will increase with increase in income.
A few studies have considered the effect of government policy on mortgage rates. However, the studies were limited to monetary policy in respect to central bank rate. Other government policy related factors such as tax that has been considered by theory as relevant have not been given attention.
Notably, some studies have considered other component of mortgage related costs and the causes of interest rates differentials among regions. These cost include; cost of originating the loan, risk premium and cost of default. The interregional mortgage differential was said to be caused by the risk premium which may differ from one region to another.
CHAPTER THREE
METHODOLOGYThis chapter will consist of three parts: development of the theoretical framework, discussion on the nature of data to be used and the empirical model specification.
3.1 THEORITIACAL FRAMEWORK
The framework is based on consumer behavior. Varian (1992, pp 112) hypothesizes that the consumer being rational will chose the best bundle given a set of affordable alternatives. In a preference maximization problem, the consumer is faced by a budget constraint. The budget constraint and the set of bundles can be represented by:
(1)
In a preference maximization case:
Max
Such that (2)
X as in X
The consumer is assumed to maximize utility on consumption of housing. The cost of financing is interest paid.
U=u (,) (3)
Where,
is the price for housing mortgage rate.
is the price of other goods that is, opportunity cost.
The price or cost for housing is assumed to be determined through the market and all consumers choose interest rate that maximizes their utility subject to constraints. A consumer can either purchase a house using his income or invest in alternative products. The consumer’s decision to pay a given cost for a mortgage will depend on other product (opportunity cost) disposable income and inflation. Inflation is considered by consumer because it reduces the purchasing power.
Hence,
U=u (Px, P Y, π) (4)
Since utility can be measured indirectly through the costs (the amount the consumer is willing to pay)
Y) (5)
(6)
Where, rb, rt, is the opportunity cost. In this regard the economic agent that is, the lender or the borrower can either invest in bonds or buy or sell mortgage security.
The interaction of financial forces in the economy can be illustrated as:
(7)
The equation on the right hand side indicates the indirect utility while the one on the right hand side is for direct utility. The consumer will maximize utility given the price of good x and other goods that is y, subject to his disposable income Y.
3.2 EMPIRICAL MODEL
The multiple linear regression model will be used. This method of analysis is has dominated the literature and will take the following form.
+ (8)
Where,
= variable interest rate.
A constant
are parameters.
= central bank rate
= bond rate
π = the inflation
y = the GD per capita
= the error term
The model will be estimated by natural logarithms so that the parameters can be interpreted in terms of elasticities. The transformation also ensures the errors are normally distributed and that the OLS yields the best linear unbiased estimators.
+ (9)
3:3 DATAThe study will use quarterly data for the period 2003 to 2013. The income measure GDP, Central bank lending rate and inflation data will be collected the Kenya National Bureau of Statistics (KNBS). The study will utilize the real GDP per capita measure as opposed to the nominal measure. The dependent variable will be variable interest rate only and will be collected from five main institutions for mortgage finance that according to Central Bank Survey (2013) represent 70% of the mortgage market. The choice of variable interest rate is informed by central bank residential mortgage survey which showed that 97.4% of mortgage loans in Kenya are on variable interest rate (Central Bank annual Supervision Report 2013).
The choice of the above variables is based purely on empirical and theoretical grounds. Bank rate represents the rate at which the central bank lends to the commercial bank. This variable has been used in the literature as a proxy for the cost of funds by the mortgage finance institutions. The GDP per capita on quarterly basis is the income measure. GDP has been used in the literature as an indicator of a country’s macroeconomic conditions. In this study, the variable has been used as a proxy for household income. The bank rate is the rate at which the Central Bank lends to the commercial bank. This variable is used an indicator of cost of funds to the financial institutions. The bond rate is the rate of ten-year bonds. This represents the opportunity cost of funds incurred by lending institution. This based on premise that the economic agents can either invest in mortgage or long term securities such as bonds. The fourth variable is the inflation. It is a measure of general increase in prices. This variable is important since lenders being rational, would require compensation for the loss in purchasing power.
3.4 ECONOMETRIC APPROACH
The following OLS equation will be estimated:
+ (10)
The dependent variable (mortgage rates) will be regressed against the following independent variables, inflation (CPI), central bank rate, treasury rate and real income. The regressed will make use of logs of the data variables. To obtain real income GDP will be divided with CPI
(11)
The key assumption for the multiple regression model can be stated in terms of conditional expectations.
E (u/…) (12)
The above assumption requires that all the factors in unobserved error term be uncorrelated with the explanatory variables. It enables us to account for the functional relationships between the explained and unexplained variables.
It also the homoskedasticity assumption, that the variance of the unobservable error term is constant.
Var(u/…)= (13)
In case the assumption fails the OLS will be ineffective, this problem will be corrected by heteroskedasticity-robust procedures.
We also assume that autocorrelation does not exist in the error term
E ( ) =0 i≠ j (14)
In case this assumption fails, the problem will be corrected with the use of lagged values.
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This research proposal is going to take a gander at the terrorism in Northern Ireland, and what this specific case says in re
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21310602807970Counter-Terrorism Research Proposal
0Counter-Terrorism Research Proposal
Rational
This research proposal is going to take a gander at the terrorism in Northern Ireland, and what this specific case says in regards to the reasons for terrorism. There is no situated scholarly definition for terrorism, as nobody can concur. Terrorism in this article is examined as a type of brutality used to accomplish political increase, whether that be to get change going, or to avert it. The clash in Northern Ireland has a convoluted history (Husband & Alam, 2011). The Irish Republican Army has its attaches again to the 1840s. Its objective is to have Ireland free from British control. It is said to take its philosophy from the French Revolution. There was a guerrilla fight by the IRA and the Irish political gathering Sinn Fein, which prompted Ireland being separated off into the six ranges of Northern Ireland, and the twenty six of whatever is left of Ireland.
Literature Review
A significant motivating occasion in the historical backdrop of the Northern Ireland inconveniences is the second Bloody Sunday. It is hard to discover unprejudiced records of the day, yet it began amid a social liberties challenge. The British armed force keep up that they were shot from the beginning, despite the fact that the protestors and onlookers say they were unarmed (Keohane, 2005). There were additionally reports of an IRA rifleman, and the armed force were offered requests to start shooting. Thirteen individuals were shot and slaughtered, six were minors. Five individuals injured were shot in the back. The exposition will now take a gander at the conceivable causes that may have pushed certain gatherings in Northern Ireland towards utilizing terrorism to battle their reason (Morton, 2010). One point to note is that scholastics can think of speculations of the reasons for terrorism that may fit certain cases ever, however nobody hypothesis fits each case, and hypotheses can’t be tried. It would be unimaginable, corrupt and illicit to set up any sort of new investigation of terrorist, it must be from existing cases or cases from the past. Each one case realizes an alternate set of free variables, so it can’t be rehashed somewhere else. Martha Crenshaw raises an exceptionally fascinating point in her diary article Causes of Terrorism (Neumann, 2003). She calls attention to that “just a couple of the individuals who experience a given circumstance experience terrorism.” She additionally says that actually when individuals have the same philosophy, for example, the Republicans, just a modest bunch really submit or help the Provisional IRA terrorist assaults. Crenshaw recommends that it takes certain mental variables to really feel free to confer terrorism. She calls attention to that there is generally solidarity among the gathering, and they are frequently independents (Schneider, Brück & Meierrieks, 2010). Jeffrey Ian Ross proposes that there are three noticeable classifications that the reasons for terrorism fall into to. The main is structural. This incorporates the political, for example, Northern Ireland staying under British standard; social, the way the two gatherings are raised to put stock in either an united Ireland, or staying under British tenet, and the Catholic – Protestant part; and monetary, the neediness under which a portion of the Catholic minority end up under terror issues.
Methodology
Research DesignResearch design is important to give an arrangement indicating the strategies and techniques for gathering and dissecting the required data, contingent upon the way of the exploration issue (Schneider, Brück & Meierrieks, 2010). For this exploration issue, clear research outline will be utilized. Engaging examination intends to gather essential information from an example of people focused around fitting polls or study to give an exact depiction of particular qualities
Online survey: Online overview helps pick up the conclusion as quickly as time permits (Spencer, 2010). It is simple for respondents to answer the inquiries by simply clicking on the screen. Also, the gathered information can be dissected naturally and electronically in an advanced structure. Also, the expense is generally low and the appropriation of extensive measure of survey is likewise unnecessary. On the other hand, online overview may prompt the consequence of low rate of reaction. Also a few respondents may significantly answer and submit the survey for more than one time. Additionally, some potential respondents may don’t have machines or can’t get to the online poll. Subsequently phone review is utilized for this study as a supplement just.SamplingSampling method: A systematic sampling with 1 in 3 proportion focused around the rundown of client database will be utilized. Orderly inspecting is a testing system in which a starting beginning stage is chosen by an irregular process, and afterward every number on the rundown is chosenSample size: It is important to compute the example size since the likelihood inspecting strategy (methodical testing) has been picked. Accept the certainty coefficient is 95%, the relative accuracy is 0.1, and evaluation is 70%. At that point the testing size is evaluated to be around 166. In any case, more example units will be chosen keeping in mind the end goal to guarantee that reaction from the 166 units is attained, along these lines 180 specimens will be chosen.Data AnalysisAfter the required information has been gathered, it will be broke down keeping in mind the end goal to get any helpful result for choice making (Spencer, 2010). First and foremost, the gathered information will be cleaned. Enlightening investigation will be utilized to exchange the crude information gathered from phone overview into a structure, which is normally the initial phase in information examination. As to the online study, naturally information altering is utilized.
References
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Deflem, M. (2006). Europol and the Policing of International Terrorism: Counter‐Terrorism in a Global Perspective. Justice Quarterly, 23(3), 336-359.
Husband, C., & Alam, Y. (2011). Social cohesion and counter-terrorism: A policy contradiction?. Policy Press.
Keohane, D. (2005). The EU and counter-terrorism. London: Centre for European Reform.
Morton, S. (2010). Introduction. Journal of Postcolonial Writing, 46(3-4), 246-250.
Neumann, P. R. (2003). Winning the ‘War on Terror’? Roy Mason’s Contribution to Counter-Terrorism in Northern Ireland. Small Wars & Insurgencies, 14(3), 45-64.
Schneider, F. G., Brück, T., & Meierrieks, D. (2010). The economics of terrorism and counter-terrorism: A survey (Part II) (No. 3012). CESifo working paper Public Finance.
Spencer, A. (2010). The tabloid terrorist: the predicative construction of new terrorism in the media. Palgrave Macmillan.