Friday, July 3, 2009

Forex

The foreign exchange (currency, forex or FX) Market is where currency trading takes place. FX transactions typically involve one party purchasing a quantity of one currency in exchange for paying a quantity of another. The FX market is one of the largest and most liquid financial markets in the world, and includes trading between large banks, central banks, currency speculators, corporations, governments, and other institutions. The average daily volume in the global forex and related markets is continuously growing. Traditional turnover was reported to be over US$ 3.2 trillion in April 2007 by the Bank for International Settlement. [1] Since then, the market has continued to grow. According to Euromoney's annual FX Poll, volumes grew a further 41% between 2007 and 2008.

Market participants

Unlike a stock market, where all participants have access to the same prices, the forex market is divided into levels of access. At the top is the inter-bank market, which is made up of the largest investment banking firms. Within the inter-bank market, spreads, which are the difference between the bid and ask prices, are razor sharp and usually unavailable, and not known to players outside the inner circle. The difference between the bid and ask prices widens (from 0-1 pip to 1-2 pips for some currencies such as the EUR). This is due to volume. If a trader can guarantee large numbers of transactions for large amounts, they can demand a smaller difference between the bid and ask price, which is referred to as a better spread. The levels of access that make up the forex market are determined by the size of the “line” (the amount of money with which they are trading). The top-tier inter-bank market accounts for 53% of all transactions. After that there are usually smaller investment banks, followed by large multi-national corporations (which need to hedge risk and pay employees in different countries), large hedge funds, and even some of the retail forex-metal market makers. According to Galati and Melvin, “Pension funds, insurance companies, mutual funds, and other institutional investors have played an increasingly important role in financial markets in general, and in FX markets in particular, since the early 2000s.” (2004) In addition, he notes, “Hedge funds have grown markedly over the 2001–2004 period in terms of both number and overall size” Central banks also participate in the forex market to align currencies to their economic needs.

Banks
The interbank market caters for both the majority of commercial turnover and large amounts of speculative trading every day. A large bank may trade billions of dollars daily. Some of this trading is undertaken on behalf of customers, but much is conducted by proprietary desks, trading for the bank's own account.

Until recently, foreign exchange brokers did large amounts of business, facilitating interbank trading and matching anonymous counterparts for small fees. Today, however, much of this business has moved on to more efficient electronic systems. The broker squawk box lets traders listen in on ongoing interbank trading and is heard in most trading rooms, but turnover is noticeably smaller than just a few years ago.

Commercial companiesAn important part of this market comes from the financial activities of companies seeking foreign exchange to pay for goods or services. Commercial companies often trade fairly small amounts compared to those of banks or speculators, and their trades often have little short term impact on market rates. Nevertheless, trade flows are an important factor in the long-term direction of a currency's exchange rate. Some multinational companies can have an unpredictable impact when very large positions are covered due to exposures that are not widely known by other market participants.

Central banksNational central banks play an important role in the foreign exchange markets. They try to control the money supply, inflation, and/or interest rates and often have official or unofficial target rates for their currencies. They can use their often substantial foreign exchange reserves to stabilize the market. Milton Friedman argued that the best stabilization strategy would be for central banks to buy when the exchange rate is too low, and to sell when the rate is too high — that is, to trade for a profit based on their more precise information. Nevertheless, the effectiveness of central bank "stabilizing speculation" is doubtful because central banks do not go bankrupt if they make large losses, like other traders would, and there is no convincing evidence that they do make a profit trading.

The mere expectation or rumor of central bank intervention might be enough to stabilize a currency, but aggressive intervention might be used several times each year in countries with a dirty float currency regime. Central banks do not always achieve their objectives. The combined resources of the market can easily overwhelm any central bank.[5] Several scenarios of this nature were seen in the 1992–93 ERM collapse, and in more recent times in Southeast Asia. Hedge fundsHedge funds have gained a reputation for aggressive currency speculation since 1996. They control billions of dollars of equity and may borrow billions more, and thus may overwhelm intervention by central banks to support almost any currency, if the economic fundamentals are in the hedge funds' favor.

Investment management firmsInvestment management firms (who typically manage large accounts on behalf of customers such as pension funds and endowments) use the foreign exchange market to facilitate transactions in foreign securities. For example, an investment manager bearing an international equity portfolio needs to purchase and sell several pairs of foreign currencies to pay for foreign securities purchases.

Some investment management firms also have more speculative specialist currency overlay operations, which manage clients' currency exposures with the aim of generating profits as well as limiting risk. Whilst the number of this type of specialist firms is quite small, many have a large value of assets under management (AUM), and hence can generate large trades. Retail forex brokersThere are two types of retail brokers offering the opportunity for speculative trading: retail forex brokers and market makers. Retail traders (individuals) are a small fraction of this market and may only participate indirectly through brokers or banks. Retail forex brokers, while largely controlled and regulated by the CFTC and NFA might be subject to forex scams[6] [7]. At present, the NFA and CFTC are imposing stricter requirements, particularly in relation to the amount of Net Capitalization required of its members. As a result many of the smaller, and perhaps questionable brokers are now gone. It is not widely understood that retail brokers and market makers typically trade against their clients and frequently take the other side of their trades. This can often create a potential conflict of interest and give rise to some of the unpleasant experiences some traders have had. A move toward NDD (No Dealing Desk) and STP (Straight Through Processing) has helped to resolve some of these concerns and restore trader confidence, but caution is still advised in ensuring that all is as it is presented.

OtherNon-bank foreign exchange companies offer currency exchange and international payments to private individuals and companies. These are also known as Foreign Exchange Brokers but are distinct from Forex Brokers as they do not offer speculative trading but currency exchange with payments. i.e. there is usually a physical delivery of currency to a bank account.

It is estimated that in the UK, 14% of currency transfers/payments are made via Foreign Exchange Companies[8]. These companies' selling point is usually that they will offer better exchange rates or cheaper payments than the customer's bank. These companies differ from Money Transfer/Remittance Companies in that they generally offer higher-value services. Money Transfer/Remittance Companies perform high-volume low-value transfers generally by economic migrants back to their home country. In 2007, the Aite Group estimated that there were $369 billion of remittances (an increase of 8% on the previous year). The four largest markets (India, China, Mexico and the Philippines) receive $95 billion. The largest and best known provider is Western Union with 345,000 agents globally. Trading characteristicsFactors affecting currency tradingSee also: Exchange rates Although exchange rates are affected by many factors, in the end, currency prices are a result of supply and demand forces. The world's currency markets can be viewed as a huge melting pot: in a large and ever-changing mix of current events, supply and demand factors are constantly shifting, and the price of one currency in relation to another shifts accordingly. No other market encompasses (and distills) as much of what is going on in the world at any given time as foreign exchange. Supply and demand for any given currency, and thus its value, are not influenced by any single element, but rather by several. These elements generally fall into three categories: economic factors, political conditions and market psychology.

Economic factorsThese include economic policy, disseminated by government agencies and central banks, economic conditions, generally revealed through economic reports, and other economic indicators.
Economic policy comprises government fiscal policy (budget/spending practices) and monetary policy (the means by which a government's central bank influences the supply and "cost" of money, which is reflected by the level of interest rates). Economic conditions include: Government budget deficits or surpluses: The market usually reacts negatively to widening government budget deficits, and positively to narrowing budget deficits. The impact is reflected in the value of a country's currency.

Balance of trade levels and trends: The trade flow between countries illustrates the demand for goods and services, which in turn indicates demand for a country's currency to conduct trade. Surpluses and deficits in trade of goods and services reflect the competitiveness of a nation's economy. For example, trade deficits may have a negative impact on a nation's currency. Inflation levels and trends: Typically, a currency will lose value if there is a high level of inflation in the country or if inflation levels are perceived to be rising. This is because inflation erodes purchasing power, thus demand, for that particular currency. However, a currency may sometimes strengthen when inflation rises because of expectations that the central bank will raise short-term interest rates to combat rising inflation.

Economic growth and health: Reports such as gross domestic product (GDP), employment levels, retail sales, capacity utilization and others, detail the levels of a country's economic growth and health. Generally, the more healthy and robust a country's economy, the better its currency will perform, and the more demand for it there will be. Political conditionsInternal, regional, and international political conditions and events can have a profound effect on currency markets.
For instance, political upheaval and instability can have a negative impact on a nation's economy. The rise of a political faction that is perceived to be fiscally responsible can have the opposite effect. Also, events in one country in a region may spur positive or negative interest in a neighboring country and, in the process, affect its currency. Market psychologyMarket psychology and trader perceptions influence the foreign exchange market in a variety of ways:Flights to quality:

Unsettling international events can lead to a "flight to quality," with investors seeking a "safe haven". There will be a greater demand, thus a higher price, for currencies perceived as stronger over their relatively weaker counterparts. The Swiss franc has been a traditional safe haven during times of political or economic uncertainty.[9] Long-term trends: Currency markets often move in visible long-term trends. Although currencies do not have an annual growing season like physical commodities, business cycles do make themselves felt. Cycle analysis looks at longer-term price trends that may rise from economic or political trends.

"Buy the rumor, sell the fact:" This market truism can apply to many currency situations. It is the tendency for the price of a currency to reflect the impact of a particular action before it occurs and, when the anticipated event comes to pass, react in exactly the opposite direction. This may also be referred to as a market being "oversold" or "overbought".[11] To buy the rumor or sell the fact can also be an example of the cognitive bias known as anchoring, when investors focus too much on the relevance of outside events to currency prices. Economic numbers: While economic numbers can certainly reflect economic policy, some reports and numbers take on a talisman-like effect: the number itself becomes important to market psychology and may have an immediate impact on short-term market moves. "What to watch" can change over time. In recent years, for example, money supply, employment, trade balance figures and inflation numbers have all taken turns in the spotlight. Technical trading considerations: As in other markets, the accumulated price movements in a currency pair such as EUR/USD can form apparent patterns that traders may attempt to use. Many traders study price charts in order to identify such patterns. [12] Algorithmic trading in forexElectronic trading is growing in the FX market, and algorithmic trading is becoming much more common. According to financial consultancy Celent estimates, by 2008 up to 25% of all trades by volume will be executed using algorithm, up from about 18% in 2005.

Source from : Wikipedia

B

/A/B/ C/ D/ E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U/V/W/Y/Z/

Bahamas (Landline & Mobile) ______0.019
Bahrain (Landline) ______________0.02
Bahrain (Mobile) ________________0.037
Bangladesh (Landline) ____________0.032
Bangladesh (Mobile) ______________0.027
Barbados (Landline) ______________0.075
Barbados (Mobile) ________________0.075
Belarus (Landline) ________________0.128
Belarus (Mobile) _________________0.128
Belgium (Landline) _______________0.013
Belgium (Mobile) _________________0.127
Belize (Landline) __________________0.149
Belize (Mobile) ___________________0.156
Benin (Landline) __________________0.092
Benin (Mobile) ___________________0.092
Bermuda (Landline) _______________0.015
Bermuda (Mobile) ________________0.015
Bhutan (Landline) _________________0.098
Bhutan (Mobile)__________________0.075
Bolivia (Landline) _________________0.057
Bolivia (Mobile) __________________0.084
Bosnia-herzegovina (Landline) _________0.094
Bosnia-herzegovina (Mobile) __________0.146
Botswana (Landline) _______________0.081
Botswana (Mobile) _________________0.093
Brazil (Landline) __________________0.02
Brazil (Mobile)____________________0.076
British Indian Ocean Territory (Landline & Mobile) 0.383
British Virgin Islands (Landline) ________0.094
British Virgin Islands (Mobile) _________0.015
Brunei Darussalam (Landline) _________0.015
Brunei Darussalam (Mobile) ___________0.021
Bulgaria (Landline) _________________0.022
Bulgaria (Mobile) __________________0.179
Burkina Faso (Landline) ______________0.129
Burkina Faso (Mobile) _______________0.13
Burundi (Landline) _________________0.066
Burundi (Mobile) __________________0.066

C

/A/B/ C/ D/ E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U/V/W/Y/Z/

Cambodia (Landline) ________________0.045
Cambodia (Mobile) _________________0.046
Cameroon (Landline) ________________0.086
Cameroon (Mobile) _________________0.157
Canada (Landline & Mobile) ____________0.009
Cape Verde (Landline) ________________0.167
Cape Verde (Mobile) __________________0.167
Cayman Islands (Landline)______________0.051
Cayman Islands (Mobile) _______________0.015
Central African Republic (Landline) ________0.173
Central African Republic (Mobile) __________0.173
Chad (Landline) _____________________0.095
Chad (Mobile) ______________________0.099
Chile (Landline) _____________________0.018
Chile (Mobile) ______________________0.041
China (Landline) ____________________0.01
China (Mobile) _____________________0.01
Colombia (Landline) _________________0.028
Colombia (Mobile) ___________________0.051
Comoros (Landline) __________________0.211
Comoros (Mobile) ___________________0.272
Congo (Landline) ____________________0.097
Congo (Mobile) _____________________0.105
Congo Democratic Republic (Landline) _____0.179
Congo Democratic Republic (Mobile) ______0.167
Cook Islands (Landline) _______________0.375
Cook Islands (Mobile) ________________0.373
Costa Rica (Landline) ________________0.04
Costa Rica (Mobile) _________________0.042
Croatia (Landline) __________________0.017
Croatia (Mobile) ___________________0.104
Cuba (Landline) ___________________0.539
Cuba (Mobile) ____________________0.457
Cyprus (Landline) __________________0.011
Cyprus (Mobile) ___________________0.029
Czech Republic (Landline) ____________0.015
Czech Republic (Mobile) _____________0.127

D

/A/B/ C/ D/ E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U/V/W/Y/Z/

Denmark (Landline) ________________0.012
Denmark (Mobile) _________________0.118
Djibouti (Landline) ________________0.213
Djibouti (Mobile) _________________0.213
Dominica (Landline) _______________0.072
Dominica (Mobile) ________________0.075
Dominican Republic (Landline) _______0.066
Dominican Republic (Mobile) _________0.066

E

/A/B/ C/ D/ E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U/V/W/Y/Z/
East Timor (Landline) _________0.238
East Timor (Mobile) __________0.238
Ecuador (Landline) ___________0.079
Ecuador (Mobile) ____________0.135
Egypt (Landline) ____________0.075
Egypt (Mobile) ______________0.065
El Salvador (Landline) _________0.075
El Salvador (Mobile) __________0.075
Equatorial Guinea (Landline) ____0.179
Equatorial Guinea (Mobile) _____0.179
Eritrea (Landline) ___________0.166
Eritrea (Mobile) _____________0.166
Estonia (Landline) ___________0.015
Estonia (Mobile) ____________0.082
Ethiopia (Landline) __________0.17
Ethiopia (Mobile) ___________0.17

F

/A/B/ C/ D/ E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U/V/W/Y/Z/

Faeroes Islands (Landline) _____0.047
Faeroes Islands (Mobile) _______0.081
Falkland Islands (Landline & Mobile) _0.283
Fiji (Landline) _____________0.158
Fiji (Mobile) ______________0.158
Finland (Landline) __________0.028
Finland (Mobile) ____________0.068
France (Landline) ___________0.011
France (Mobile) _____________0.086
French Guiana (Landline) _______0.037
French Guiana (Mobile) ________0.163
French Polynesia (Landline) _____0.173
French Polynesia (Mobile) ______0.179

G

/A/B/ C/ D/ E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U/V/W/Y/Z/

Gabon (Landline) ___________0.099
Gabon (Mobile) _____________0.139
Gambia (Landline) ___________0.194
Gambia (Mobile) ____________0.194
Georgia (Landline) ___________0.031
Georgia (Mobile) ____________0.066
Germany (Landline) __________0.011
Germany (Mobile) ___________0.075
Ghana (Landline) ____________0.046
Ghana (Mobile) _____________0.102
Gibraltar (Landline) __________0.036
Gibraltar (Mobile) ____________0.131
Greece (Landline) _____________0.012
Greece (Mobile) _____________0.094
Greenland (Landline) _________0.342
Greenland (Mobile) ___________0.342
Grenada (Landline) ___________0.089
Grenada (Mobile) ____________0.093
Guadeloupe (Landline) _________0.019
Guadeloupe (Mobile) ___________0.047
Guam (Landline & Mobile) _______0.015
Guatemala (Landline) __________0.08
Guatemala (Mobile) ___________0.086
Guinea (Landline) ____________0.119
Guinea (Mobile) _____________0.123
Guinea-bissau (Landline) _______0.223
Guinea-bissau (Mobile) ________0.262
Guyana (Landline) ____________0.158
Guyana (Mobile) _____________0.145

H

/A/B/ C/ D/ E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U/V/W/Y/Z/

Haiti (Landline) _____________0.129
Haiti (Mobile) ______________0.148
Honduras (Landline) __________0.054
Honduras (Mobile) ___________0.109
Hong Kong (Landline) ________0.009
Hong Kong (Mobile) SuperDeal! __0.005
Hungary (Landline) __________0.011
Hungary (Mobile) ___________0.077

I

/A/B/ C/ D/ E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U/V/W/Y/Z/

Iceland (Landline) ___________0.017
Iceland (Mobile) ____________0.108
India (Landline) ____________0.02
India (Mobile) ______________0.016
Indonesia (Landline) __________0.048
Indonesia (Mobile) ___________0.037
Iran (Landline) _____________0.039
Iran (Mobile) ______________0.065
Iraq (Landline) _____________0.033
Iraq (Mobile) ______________0.076
Ireland (Landline) ___________0.011
Ireland (Mobile) ____________0.112
Israel (Landline) ____________0.011
Israel (Mobile) ____________0.064
Italy (Landline) ____________0.011
Italy (Mobile) _____________0.091
Ivory Coast (Landline) ________0.135
Ivory Coast (Mobile) _________0.148

J

/A/B/ C/ D/ E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U/V/W/Y/Z/

Jamaica (Landline) _________0.052
Jamaica (Mobile) ___________0.015
Japan (Landline) ___________0.016
Japan (Mobile) _____________0.064
Jordan (Landline) ____________0.047
Jordan (Mobile) ______________0.05

K

/A/B/ C/ D/ E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U/V/W/Y/Z/

Kazakhstan (Landline) _________0.036
Kazakhstan (Mobile) ___________0.057
Kenya (Landline) ______________0.073
Kenya (Mobile) _______________0.076
Kiribati (Landline) ____________0.249
Kiribati (Mobile) _____________0.429
Kuwait (Landline) _____________0.054
Kuwait (Mobile) ______________0.064
Kyrgyzstan (Landline) __________0.071
Kyrgyzstan (Mobile) ____________0.073

L

/A/B/ C/ D/ E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U/V/W/Y/Z/

Laos (Landline) _______________0.036
Laos (Mobile) ________________0.039
Latvia (Landline) ______________0.025
Latvia (Mobile) _______________0.082
Lebanon (Landline) ____________0.071
Lebanon (Mobile) ______________0.121
Lesotho (Landline) ______________0.12
Lesotho (Mobile) _______________0.132
Liberia (Landline) ______________0.173
Liberia (Mobile) _______________0.173
Libya (Landline) _______________0.147
Libya (Mobile) ________________0.169
Liechtenstein (Landline) __________0.042
Liechtenstein (Mobile) ____________0.197
Lithuania (Landline) _____________0.032
Lithuania (Mobile) ______________0.094
Luxembourg (Landline) ___________0.015
Luxembourg (Mobile) _____________0.122

M

/A/B/ C/ D/ E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U/V/W/Y/Z/

Macao (Landline) ________________0.027
Macao (Mobile) _________________0.027
Macedonia (Landline) _____________0.022
Macedonia (Mobile) ______________0.145
Madagascar (Landline) ____________0.151
Madagascar (Mobile) ______________0.175
Malawi (Landline) ________________0.06
Malawi (Mobile) _________________0.068
Malaysia (Landline) _______________0.011
Malaysia (Mobile) _________________0.025
Maldives (Landline) ________________0.088
Maldives (Mobile) ________________0.1
Mali (Landline) __________________0.138
Mali (Mobile) __________________0.152
Malta (Landline) _______________0.079
Malta (Mobile) _______________0.158
Marshall Islands (Landline) _______0.192
Marshall Islands (Mobile) _________0.192
Martinique (Landline) ___________0.018
Martinique (Mobile) _____________0.173
Mauritania (Landline) ____________0.133
Mauritania (Mobile) _____________0.145
Mauritius (Landline) _____________0.047
Mauritius (Mobile) ______________0.047
Mayotte (Landline) ______________0.031
Mayotte (Mobile) ________________0.075
Mexico (Landline) _______________0.05
Mexico (Mobile) ________________0.066
Mexico [fix2] __________________0.022
Micronesia (Landline & Mobile) _____0.153
Moldova (Landline) _____________0.091
Moldova (Mobile) _______________0.102
Monaco (Landline) ______________0.02
Monaco (Mobile) _______________0.171
Mongolia (Landline) _____________0.059
Mongolia (Mobile) ______________0.059
Montenegro (Landline) ___________0.102
Montenegro (Mobile) ____________0.183
Montserrat (Landline) ___________0.015
Montserrat (Mobile) _____________0.015
Morocco (Landline) _____________0.093
Morocco (Mobile) ______________0.161
Mozambique (Landline) __________0.062
Mozambique (Mobile) ___________0.117
Myanmar (Landline) ____________0.173
Myanmar (Mobile) _____________0.173

N

/A/B/ C/ D/ E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U/V/W/Y/Z/

Namibia (Landline) _____________0.059
Namibia (Mobile) ______________0.152
Nauru (Landline & Mobile) ________0.209
Nepal (Landline) ______________0.107
Nepal (Mobile) ________________0.104
Netherlands (Landline) ___________0.013
Netherlands (Mobile) ____________0.123
Netherlands Antilles (Landline) _____0.077
Netherlands Antilles (Mobile) _______0.088
New Caledonia (Landline)_________0.147
New Caledonia (Mobile) __________0.149
New Zealand (Landline) __________0.01
New Zealand (Mobile)___________0.113
Nicaragua (Landline) ___________0.103
Nicaragua (Mobile) ____________0.117
Niger (Landline)______________0.094
Niger (Mobile) _______________0.091
Nigeria (Landline) ____________0.071
Nigeria (Mobile) ______________0.085
Niue (Landline & Mobile) ________0.38
North Korea (Landline & Mobile)____0.296
Northern Mariana Islands (Landline)_0.015
Northern Mariana Islands (Mobile) __0.021
Norway (Landline) _____________0.016
Norway (Mobile) ______________0.122

O

/A/B/ C/ D/ E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U/V/W/Y/Z/

Oman (Landline) ______________0.097
Oman (Mobile) _______________0.123

P

/A/B/ C/ D/ E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U/V/W/Y/Z/

Pakistan (Landline) ____________0.047
Pakistan (Mobile) ______________0.051
Palau (Landline) ______________0.176
Palau (Mobile) ________________0.176
Palestinian Territory (Landline) _____0.114
Palestinian Territory (Mobile) ______0.112
Panama (Landline) _____________0.017
Panama (Mobile) ______________0.068
Papua New Guinea (Landline) ______0.307
Papua New Guinea (Mobile) ________0.31
Paraguay (Landline) _____________0.055
Paraguay (Mobile) ______________0.055
Peru (Landline) ________________0.02
Peru (Mobile) _________________0.063
Philippines (Landline) ____________0.093
Philippines (Mobile) ______________0.104
Poland (Landline) _______________0.01
Poland (Mobile) _________________0.057
Portugal (Landline) ______________0.013
Portugal (Mobile) _______________0.091

Q

/A/B/ C/ D/ E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U/V/W/Y/Z/

Qatar (Landline) _______________0.125
Qatar (Mobile) ________________0.125

R

/A/B/ C/ D/ E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U/V/W/Y/Z/

Reunion (Landline) ______________0.023
Reunion (Mobile) _______________0.155
Romania (Landline) ______________0.017
Romania (Mobile) _______________0.06
Russian Federation (Landline) _______0.035
Russian Federation (Mobile) ________0.033
Rwanda (Landline) ______________0.086
Rwanda (Mobile) _______________0.088

S

/A/B/ C/ D/ E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U/V/W/Y/Z/

Samoa (Landline) ______________0.186
Samoa (Mobile) _______________0.223
San Marino (Landline) ___________0.023
San Marino (Mobile) _____________0.024
Sao Tome And Principe (Landline) ____0.31
Sao Tome And Principe (Mobile) _____0.31
Saudi Arabia (Landline) __________0.069
Saudi Arabia (Mobile) ___________0.102
Senegal (Landline) _____________0.107
Senegal (Mobile) _______________0.11
Serbia And Montenegro (Landline) __0.052
Serbia And Montenegro (Mobile) ___0.087
Seychelles (Landline) ___________0.054
Seychelles (Mobile) ___________0.054
Sierra Leone (Landline) _________0.157
Sierra Leone (Mobile) __________0.195
Singapore (Landline) __________0.01
Singapore (Mobile) ____________0.01
Slovak Republic (Landline) _______0.017
Slovak Republic (Mobile) ________0.137
Slovenia (Landline) ____________0.021
Slovenia (Mobile) _____________0.184
Solomon Islands (Landline) ______0.27
Solomon Islands (Mobile) _______0.288
Somalia (Landline) ___________0.253
Somalia (Mobile) ____________0.254
South Africa (Landline) ________0.028
South Africa (Mobile) _________0.08
South Korea (Landline) ________0.017
South Korea (Mobile) _________0.03
Spain (Landline) ____________0.009
Spain (Mobile) _____________0.091
Sri Lanka (Landline) _________0.072
Sri Lanka (Mobile) ___________0.083
St Helena (Landline & Mobile) ___0.223
St Kitts And Nevis (Landline) ____0.023
St Kitts And Nevis (Mobile) _____0.023
St Lucia (Landline) __________0.066
St Lucia (Mobile) ___________0.075
St Pierre And Miquelon (Landline)_0.085
St Pierre And Miquelon (Mobile) ___0.085
St Vincent And The Grenadines (Landline) 0.094
St Vincent And The Grenadines (Mobile) 0.075
Sudan (Landline) _______________0.082
Sudan (Mobile) ________________0.079
Suriname (Landline) ____________0.141
Suriname (Mobile) _____________0.141
Swaziland (Landline) ___________0.049
Swaziland (Mobile) ____________0.112
Sweden (Landline) _____________0.01
Sweden (Mobile) ______________0.06
Switzerland (Landline) __________0.019
Switzerland (Mobile) ___________0.155
Syrian Arab Republic (Landline) ____0.117
Syrian Arab Republic (Mobile) _____0.129

T

/A/B/ C/ D/ E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U/V/W/Y/Z/

Taiwan (Landline) _____________0.012
Taiwan (Mobile) ______________0.05
Tajikistan (Landline) ___________0.066
Tajikistan (Mobile) ____________0.068
Tanzania (Landline) ___________0.087
Tanzania (Mobile) ____________0.087
Thailand (Landline) ___________0.009
Thailand (Mobile) ____________0.009
Thuraya (Landline & Mobile) _____0.085
Togo (Landline) ______________0.159
Togo (Mobile) _______________0.159
Tonga (Landline) _____________0.132
Tonga (Mobile) ______________0.128
Trinidad And Tobago (Landline) ___0.025
Trinidad And Tobago (Mobile) ____0.058
Tunisia (Landline) ____________0.155
Tunisia (Mobile) _____________0.186
Turkey (Landline) ____________0.03
Turkey (Mobile) ______________0.066
Turkmenistan (Landline) ________0.086
Turkmenistan (Mobile) __________0.087
Turks And Caicos (Landline) _______0.015
Turks And Caicos (Mobile) ________0.015
Tuvalu (Landline & Mobile) _______0.206

U

/A/B/ C/ D/ E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U/V/W/Y/Z/

Uganda (Landline) _____________0.082
Uganda (Mobile) ______________0.082
Ukraine (Landline) _____________0.067
Ukraine (Mobile) ______________0.07
United Arab Emirates (Landline) ____0.109
United Arab Emirates (Mobile) _____0.109
United Kingdom (Landline) _______0.008
United Kingdom (Mobile) _________0.079
United States (Landline & Mobile) ____0.009
Uruguay (Landline) _____________0.05
Uruguay (Mobile) ______________0.118
Us Virgin Islands (Landline) ________0.011
Us Virgin Islands (Mobile) _________0.011
Uzbekistan (Landline) ____________0.05
Uzbekistan (Mobile) _____________0.05

V

/A/B/ C/ D/ E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U/V/W/Y/Z/

Vanuatu (Landline) _____________0.223
Vanuatu (Mobile) _______________0.378
Venezuela (Landline) _____________0.018
Venezuela (Mobile) _______________0.072
Viet Nam (Landline) ______________0.042
Viet Nam (Mobile) _______________0.045

W

/A/B/ C/ D/ E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U/V/W/Y/Z/

Wallis And Futuna (Landline & Mobile) _0.297

Y

/A/B/ C/ D/ E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U/V/W/Y/Z/

Yemen (Landline) _______________0.109
Yemen (Mobile) ________________0.108

Z

/A/B/ C/ D/ E/F/G/H/I/J/K/L/M/N/O/P/Q/R/S/T/U/V/W/Y/Z/

Zambia (Landline) _______________0.032 Add Image
Zambia (Mobile) ________________0.108
Zimbabwe (Landline) _____________0.052
Zimbabwe (Mobile) ______________0.168