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e standard deviation of daily returns of Ericsson and Nokia were taken into account in order to compute investment volatility. The reason being that the standard deviation of returns of these companies was an appropriate proxy for investment volatility since these companies were the suppliers of equipment and thus their business was associated with investment cost.

 

However the scenario is different with respect to my research and the reason being that unlike UK and USA, in Pakistan the cellular companies mainly provide cellular services that include voice and data services though they do not offer annual contracts to customers that include mobile handset which is the typical case in UK and USA. Generally in Pakistan cellular companies like Mobilink, Ufone and Telenor provide cellular services whereas companies like Mobile Zone and Advance Telecom are responsible for selling and distributing mobile handsets throughout the country. Knowing the fact that unlike cellular companies in UK and USA, the cellular companies in Pakistan that is Mobilink, Telenor and UFONE do not sell mobile handset, therefore in order to compute investment cost volatility I have taken into account investments made in Pakistan cellular industry during 2005-2009 which is an appropriate measure for the computation of investment cost volatility with respect to Pakistan cellular industry. The investments made in Pakistan cellular industry during 2005-2010 has been demonstrated in figure 5.15 shown below.

 

Furthermore I have computed the Natural Log of total investments made in 2G Industry which is the next step towards the calculation of investment cost volatility. The figures for Natural Log of industry investments are shown below.

 

Finally using the figures above, I managed to compute the annualized standard deviation of investment cost which turned out to be approximately 0.537 or 53.7% whereas the annualized variance was estimated to be 0.289 or 28.9%.

 

The profit per unit (P) as well as quantity sold by the follower (Q) were required as input with respect to my first model which is “RIVALRY UNDER NET REVENUE & INVESTMENT COST UNCERTAINTY”.

 

In order to obtain a realistic measure for profit per unit with respect to 3G market, an estimate of Average Revenue per Usage (ARPU) in the 3G market was taken into consideration. As far the calculation of ARPU for 3G market is concerned it is already explained in detail in section 5.4.3. Basically the ARPU for 3G was computed by means of considering the average of Pakistan cellular industry’s ARPU during the period of 2004-2009. It has been estimated that the total ARPU for the 3G market will be approximately $5.3 which has been considered as profit per unit in model 1.

 

Furthermore in order to account for quantity sold by follower, I have estimated the number of subscribers that the follower will possess in the first y本论文由英语论文网提供整理，提供论文代写，英语论文代写，代写论文，代写英语论文，代写留学生论文，代写英文论文，留学生论文代写相关核心关键词搜索。