Journal of Stock & Forex Trading

Journal of Stock & Forex Trading
Open Access

ISSN: 2168-9458

Opinion - (2014) Volume 3, Issue 4

Perspectives on Forward Premia in India Forex Market: A Study of USD/INR

Maram Srikanth1 and Krishna Reddy Chittedi2*
1Assistant Professor, Department of Finance & Accounting, Indian Institute of Management (IIM-S), Mayurbhanj Complex, Nongthymmai, Shillong - 793014, India
2Assistant Professor, Department of Economics, Central University of Tamil Nadu, Thiruvarur, Tamil Nadu, India
*Corresponding Author: Dr. Krishna Reddy Chittedi, Assistant Professor, Department of Economics, Central University of Tamil Nadu, Thiruvarur, Tamil Nadu, India, Tel: 09985324383 Email:

Abstract

The study is an attempt to understand dynamics of USD/INR forward market. For this study, we have collected primary information from the market practitioners with the help of a structured mailed questionnaire. It is observed that forward contracts play an important role in addressing the exchange rate risk. It is observed that qualitative attributes like market sentiments, expectations, political stability and financial news play a vital role in determination of forward premia apart from quantitative factors viz., Interest Rate Differential, Crude Price, Net Intervention of RBI, lagged values of forward premia and Turnover in the foreign exchange market. It is also found that forwards and futures would continue to have their respective market shares in the Indian foreign exchange market since both of them have unique features in minimizing the exchange rate risk. Forwards and futures would continue to have their respective market shares in the Indian foreign exchange market since both of them have unique features in minimizing the exchange rate risk. It is also evident from the responses that international oil price has a marked impact on the movement of forward premia due to India’s heavy reliance on oil imports. Further, the survey results reveal that multi-currency regime and forward market would co-exist in future. There is a unanimous view that RBI played a proactive role in bringing down volatility in the Indian markets during the financial crises in the past.

<

Keywords: Foreign exchange market; Forward premia; Forward market; Determinants; Questionnaire

Introduction

Forward markets are very significant in determining foreign currency prices through the interaction of fundamentals viz., interest rates, inflationary expectations, balance of payments and similar other macro-economic factors. If a foreign currency is available at a cheaper rate in the spot market than in the forward market, it implies that it is quoted at ‘premium’ (i.e., foreign currency is ‘stronger’ than the home currency in the forward market and vice versa). On the other hand, if the currency is costlier in the spot market than in the forward market, it is quoted at ‘discount’. If spot and forward rates are equal, the currency is said to be at ‘par’.

Extensive research work has been documented in literature on the themes of exchange rate determination, spot & forward markets and efficient market hypothesis as applicable to currency markets both in India and abroad. As per the ‘Interest Rate Parity theory’, when interest rate in India is higher than that of in the USA, USD commands premium over INR in the forward market. Interest rate differential, other things being equal will be the main factor in determination of forward premia especially when two countries have free market economies.

In the international finance, Parity theory has many variants viz., Covered Interest Parity (CIP), Uncovered Interest Parity (UIP), Real Interest Parity (RIP) and Purchasing Power Parity (PPP). These parity theories integrate the relationship of forward premia, exchange rates, inflation and interest rates in the international financial markets. As one would expect findings of the research are of a mixed nature, some studies validated these theories, while others rejected them.

Reddy [1] found conclusive evidence for UIP conditions in respect of forward premia of 3 & 6 months tenor (but not in case of one month), in the Indian foreign exchange market. Similarly, Bhatti and Moosa [2] and Lothian and Wu [3] validated UIP theory in the foreign exchange markets. Hakkio [4] validated UIP hypothesis in case of Canada, Switzerland and the UK. However, research findings of Sharma et al. [5], could not find supporting evidence for UIP [6].

George and Mallik [7], Shah and Patnaik [8], and Varma [9] concluded that CIP conditions were non-existent in the foreign exchange markets. Whereas, some authors viz., Taylor (1991), Skinner and Mason found that CIP conditions hold good in advanced markets such as European Union countries, the UK and Norway. Batten and Szilagyi [10] found that CIP conditions existed till 2000 and disappeared later in respect of USD/JPY due to introduction of electronic trading platforms and transparent real time pricing systems in the markets.

As exchange rate is an output derived out of market behaviour, merely concluding that exchange rate follows a random walk would mean that the market forces behind this rate are erratic. This is a conclusion to be contested and to be answered both at theoretical and at empirical level. On the other hand, over dependence on macro theories that it can explain and forecast exchange rates near-accurately at all-time horizons is also not completely acceptable. Meese and Rogoff [11] it was found that forecasts based on the monetary approach to exchange rate determination could not Out-perform the random walk forecasts; the macro models lost their allure subsequently. In the short-run, the recent studies, particularly after the introduction of online trading systems that made the tick-by-tick (high frequency) data available, have shown that macroeconomic fundamentals are barely useful in predicting the rate movement (Sarno and Taylor, 2001, for the survey).

In this context present study, an attempt is made to identify qualitative factors that influence USD/INR forward premia with the help of primary information from the market practitioners. As more than 96% of India’s foreign exchange turnover is denominated in the USD according to the Bank for International Settlements (BIS) Central Banks’ Triennial Survey, 2010, focus of the present study is on USD/ INR forward premia [12].

The current study is divided into five sections. The second section presents an overview on the foreign exchange forward market in India. The third section explains nature of data. The fourth section discusses the findings from survey on forward market. The fifth section concludes the study.

Indian Forward Market – An Overview

As per the Triennial Central Bank Survey conducted by Bank for International Settlements (BIS) in 2010, [12]. India was ranked at 15 in the world in terms of foreign exchange turnover; and stood at 16th position in terms of turnover in derivatives segment. Indian foreign exchange market is mainly concentrated in Mumbai and its share is nearly 80% in the entire turnover. As per the Survey, the maturity profile of outright forward contracts in India as well as in the world is shown in Table 1.

Tenor of outright forward contracts India (%) World (%)
Up to 7 days 29 46
More than 7 days and up to 1 year 49 52
Beyond 1 year 22 2
Total 100 100

Source: Triennial Central Bank survey conducted by BIS in 2010

Table 1: Tenor of Forward Contracts.

It is evident from the Table 1 that share of outright forwards up to 7 days’ tenor is comparatively on the lower side in India as against the global level, perhaps due to the fact that the market participants in India have to submit proof of underlying exposure before due date of the forward contract. It is noticed that the per cent of outright forwards with a tenor of more than one year in India is higher than that of world figures because of growing share of capital flows viz., Foreign Direct Investment (FDI), Foreign Institutional Inflows (FIIs), External Commercial Borrowings (ECB) and Foreign Currency Non- Resident Bank (FCNR-B) deposits in the Indian Balance of Payments (BoP) since 2003-04. Foreign investors are interested to invest in India since they perceive that India is an Emerging Market Economy (EME) offering superior growth opportunities when compared to Advanced Economies (AEs). The size and level of operations of the Indian foreign exchange market during the last decade are shown in Table 2 [13].

Description 2011-12 2010-11 2009-10 2008-09 2005-06 2000-01
Daily average turnover in spot market 27.43
(50)
26.70
(49)
20.37
(50)
21.42
(45)
8.92
(51)
2.71
(47)
Daily avg. turnover in outright forward & swap markets 27.15
(50)
27.59
(51)
20.33
(50)
26.18
(55)
8.58
(49)
2.99
(53)
Daily avg. Turnover in foreign exchange market 54.58
(100)
54.30
(100)
40.70
(100)
47.60
(100)
17.50
(100)
5.70
(100)
Total Annual turnover 13918 13791 10355 12092 4404 1434

Note: figures in brackets indicate market share in % terms
Source: RBI’s report on Currency & Finance – various issues

Table 2: Turnover in Indian Foreign Exchange Market (in USD billion).

It is clear from Table 2 that there was a spectacular growth in the total annual turnover of the Indian foreign exchange market i.e., from USD 1434 billion to USD 13918 billion (CAGR @ 23%) between 2000-01 and 2011-12. This indicates ‘increased trade openness and globalization of Indian firms’ during the period. Daily average turnover also witnessed similar kind of growth (increased to almost 10 times) during the period under review indicating deep, liquid and efficient market conditions in the market. Though the total turnover declined during 2009-10 due to Global Financial Crisis and consequent uncertainty in the international financial markets, turnover in forward/ swap markets, however, increased (from USD 23.85 billion to USD 26.18 billion) between 2007-08 and 2008-09 on account of ‘cover operations’ undertaken by the market participants. The total turnover in the market bounced back during 2010-11 and further increased to USD 13918 billion during 2011-12 reflecting ‘growing India’s foreign trade and renewed interest of FIIs in the Indian economy’. Table 3 portrays the foreign exchange market scenario in terms of indicated parameters between 2000-01 and 2011-12.

Sl. No. Description 2011-12 2010-11 2005-06 2000-01
1 Annual turnover (in USD billion) 13918 13791 4404 1434
2 Inter-bank turnover (in USD billion) 11191
(80)
10121
(73)
3187
(72)
1153
(80)
3 Merchant turnover (in USD billion) 2727
(20)
3670
(27)
1217
(28)
281
(20)
4 BoP of India (Gross flows  i.e.,
Dr + Cr items) (in USD billion)
2028 1883 664 258
5 Foreign currency assets of India at end March of the year  (in USD billion) 260 274 145 40
6 Item 2/3 4.1 2.7 2.6 4.1
7 Item 1/4 6.9 7.4 6.6 5.6
8 Item 1/5 54 50 30 36

Source: RBI’s hand book of statistics on Indian economy
Note: figures in parenthesis indicate share in % terms

Table 3: Indian Foreign Exchange Market – Some Benchmarks.

As already indicated, total annual turnover in Indian foreign exchange market exhibited phenomenal growth by increasing almost 10 times during the period from 2000-01 to 2011-12. However, the shares of inter-bank turnover and merchant turnover in the total turnover remained flat during the period, albeit their proportions changed during the course of the period. It can be observed that India’s foreign currency assets rose by 6.5 times during the period from 2000- 01 to 2011-12; similarly, gross flows in BoP jumped by almost 8 times during the same period reflecting external orientation of the Indian economy. Further, it is noticed that the total market turnover in terms of foreign currency assets (item 8 in Table 3) and the BoP (item 7 in Table 3) also rose sharply during the period displaying vibrant market conditions.

Nature of Data

For this study, we have collected primary information from the market practitioners with the help of a structured mailed questionnaire. The questionnaire is constructed by using Likert Scale. We could collect information from 210 market practitioners. Random sampling technique was used to select the respondents.

Empirical Results based on Primary Survey

Primary data on Indian foreign exchange forward market have been interpreted in the following paragraphs. Each paragraph contains a question/statement (of the survey), followed by views (of the respondents) and analysis.

Forward market helps in mitigating exchange rate risk of corporates with external commercial borrowings apart from exporters/importers and Foreign Institutional Investors (FIIs).

It is evident from Table 4 that there is a near unanimity (94%) among the respondents on this view. Participants in the market book forward contracts mainly to cover exchange rate risk that stems from exports, imports, overseas borrowings and investments. Hence, it can be stated that forward contracts come very handy to mitigate the exchange rate risk in foreign currency transactions. The most widely used derivative instruments are the forwards and swaps in the Indian foreign exchange market [14]. Indian foreign exchange market has the following characteristics.

Response a) Yes b) No c) Can’t say
No. of responses
(in percentage)
198 (93.84%) 10 (4.74%) 3 (1.42%)

Table 4: Importance of Forward Markets.

It is apparent from Table 5 that 75% of the respondents agreed that the Indian foreign exchange market is liquid. Similarly, majority of the respondents voted for market characteristics such as ‘depth’ (54%) and ‘efficiency’ (62%); however, it is observed from the responses that 18% of the participants could not take a definite view on market efficiency. It implies that the Indian foreign exchange market has been evolving and low bid–ask spreads may not be an ‘everyday phenomenon’.

Characteristics a) Yes b) No c) Can’t say
Deep (i.e., Transactions with huge volumes) 113
(53.55%)
75
(35.55%)
23
(10.90%)
Liquid (i.e., continuous & large no. of transactions) 158
(74.88%)
41
(19.43%)
12
(5.69%)
Efficient (i.e., low bid - ask spreads in foreign exchange quotes) 131
(62.09%)
41
(19.43%)
39
(18.48%)

Table 5: Characteristics of Indian Forex Market.

Indian foreign exchange market has matured in terms of depth, liquidity and efficiency especially after introduction of market determined exchange rate regime in March 1993 and gradual liberalization of inflows and outflows in foreign currency. This is evident from its higher turnover and lower bid-ask spreads. In India, the normal spot market quote has an average spread of ‘half a paisa’ while swap quotes are available with a spread of ‘one to two paise’ per USD. The bid-ask spreads of USD/INR have almost converged with those of other convertible currencies in the international market. On some occasions, in fact, the bid-ask spread of USD/INR was lower than that of some major currencies [15]. Low bid-ask spreads on exchange rates reflect higher liquidity and efficiency, lower volatility and less of information asymmetry in the market. Bid-ask spreads will decrease gradually as the number and size of transactions increase in the market. Efficiency in the foreign exchange markets can be established when forward premium acts as an unbiased predictor of future spot rates, reflecting informational efficiency [4,16-20]. Forward premia influence future USD/INR spot rate.

It is clear from Table 6 that 62% voted in favour of this view. As per the Uncovered Interest Parity theory, forward premia influence future exchange rates as the expectations of market participants are ‘self-fulfilling’ in nature [21]. Hence, it is inferred that ‘expectations’ and forward rate do play a major role in the determination of future USD/INR spot rate. This is supported by a research study conducted by Misra and Behera [22], wherein bi-directional causality was observed between spot and forward rates of USD/INR.

Response a) Yes b) No c) Can’t say
No. of responses (in percentage) 130 (61.61%) 61 (28.91%) 20 (9.48%)

Table 6: Influence of Forward Premia on Spot Rate.

Forward market is driven more by fundamentals viz., interest rate differential, inflation differential and Balance of Payments. Hence, it is less volatile due to time lag effect in accessing information related to some of these macro-economic variables.

It is noticed that market participants don’t have instant access to information on some of the macro-economic variables; for instance, data on WPI is available on weekly basis to the market. Data on BoP is published on quarterly basis. It can be seen from the Table 7 that 73% of the respondents agreed with the view that the fundamentals and their lagged values will have a distinct impact on the forward rates. This view was supported by the findings of the research study conducted by the authors [23] that lagged values of forward premia, interest rate differential and turnover in the foreign exchange market had a significant impact in determining forward premia during the period December 1998 through March 2011.

Response a) Yes b) No c) Can’t say
No. of responses (in percentage) 153 (72.51%) 34 (16.11%) 24 (11.37%)

Table 7: Impact of Fundamentals on Forward Market.

During the last decade, Euro and Chinese Yuan have emerged as strong contenders to USD and getting considerable attention in the markets. Euro and Chinese Yuan may replace USD in the Indian foreign exchange market during the next decade.

It is observed from Table 8 that 70% of the respondents refuted that USD would be replaced either by Euro or by Chinese Yuan during the next decade in the Indian foreign exchange market. As more than 96% of India’s foreign exchange turnover is denominated in the USD according to the Bank for International Settlements (BIS) Central Banks’ Triennial Survey, 2010, this view appears to be realistic [12].

Response a) Yes b) No c) Can’t say
No. of responses (in percentage) 16 (7.58%) 147 (69.71%) 48 (22.75%)

Table 8: Indian Forex Market – Role of USD.

Forward contracts are usually delivered on the due date. This indicates a lower level of participation of speculators in the Indian forward market.

It can be noticed from Table 9 that 55% of the respondents agreed with the view that the presence of speculators in the Indian forward market is on the lower side; however 31% of respondents have not ruled out the possibility of speculation in the market and 14% of the people could not take any stance in this regard. This shows that speculative transactions do exist in the Indian foreign exchange forward market at a considerable level. As the transactions driven by speculation add liquidity to the market by way of better price discovery, RBI has allowed ‘free booking and cancellation’ of forward contracts, albeit with certain restrictions. As participants in the market have to submit documentary evidence to Authorised Dealers before expiry of each forward contract, this prevents speculative transactions in the market to a great extent. In view of excessive volatility in the Indian foreign exchange market, RBI directed that the ‘delivery in forward contracts’ is mandatory since December 16, 2011 with a view to discouraging speculative transactions. In case of cancelled forward contracts, the same are not allowed to be re-booked, unlike in the past as per the RBI’s Master Circular No. RBI/2011-12/379/12 dated July 1, 2011 and its updated version dated January 31, 2012.

Response a) Yes b) No c) Can’t say
No. of responses (in percentage) 116 (54.98%) 65 (30.81%) 30 (14.22%)

Table 9: Speculation in the Indian Forward Market.

India achieved full integration in its financial market segments viz., equity market, money market, foreign exchange market and government securities market.

It is observed from Table 10 that 76% of the respondents did not agree with this view. Hence, it is deduced that India is yet to achieve full integration in all of its financial market segments. The research studies undertaken by Jain and Murthy [24], Bhat and Virmani [25] and George and Mallik [7] corroborated this view. So the policy makers may think of more reform initiatives such as further widening of the base of participants, introduction of new instruments, and development of institutional infrastructure in the Indian financial markets to achieve market integration further.

Response a) Yes b) No c) Can’t say
No. of responses (in percentage) 21 (9.95%) 161 (76.30%) 29 (13.74%)

Table 10: Integration of Indian Financial Markets.

The results of sample survey are mixed. Around 60% of the respondents either remain indecisive (43%) or disagree (17%) with the above view as in Table 11. Hence, it may be inferred from the survey results that the existing system i.e., Partial Capital Account Convertibility might be continued along with Current Account Convertibility in India. It is suggested that the policy makers may strive for the ‘interest parity conditions’ in the Indian foreign exchange market while framing any guidelines in future.

Response a) Yes b) No c) Can’t say
No. of responses (in percentage) 85 (40.28%) 36 (17.06%) 90 (42.65%)

Table 11: FCAC Regime in India.

Among foreign exchange market participants, NRIs/Foreign investors engage in arbitrage activities significantly (Table 12).

Response a) Yes b) No c) Can’t say
No. of responses (in percentage) 108 (51.18%) 66 (31.28%) 37 (17.54%)

Table 12: Indian Forex Market – Role of Arbitrageurs.

It is observed that the Forward Premium acts as a bridge between domestic and foreign interest rates through Covered Interest Arbitrage [9,26]. Though 51% of the respondents agreed with the general perception that NRIs/foreign investors engage in arbitrage activities, around one third of respondents (31%) disagreed with this view as per Table 12 NRIs mainly consist of two classes: i) professionals, academicians and international civil servants, who are very rich and ii) migrant workers, who are not that rich. It is noticed that the latter class of NRIs are influenced by yields (interest rate differentials) and the former by depreciation of INR [23]. NRIs/foreign investors bring in foreign currency into India for domestic maintenance, savings and investments. The motivating factors for these inflows seem to be the strong macro-economic scenario in India rather than interest arbitrage alone. Jalan [27] endorses this view and states that there has been no evidence that capital moves from the US to the Europe or elsewhere merely on account of interest rate differential. The frequency of buy–sell operations of foreign investors in equity, money and Govt. securities market may affect forward premia.

It is obvious from Table 13 that 69% agreed that portfolio flows do affect forward premia. It is observed that portfolio flows, with sudden and huge volumes, from foreign investors have an impact on foreign exchange market in general and forward premia in particular [28]. It is noticed that portfolio flows are invested in Indian financial markets for a short period with a view to maximising returns.

Response a) Yes b) No c) Can’t say
No. of responses (in percentage) 145 (68.72%) 41 (19.43%) 25 (11.85%)

Table 13: Effect of Fiis on Forward Market.

Volatility in exchange rates (including in forward premia) is of high policy relevance because it is often seen as an impediment to trade and welfare [29]. Since portfolio investments, in general, are not deployed for a longer tenor, hot money flows from FIIs may be monitored closely. Further, given the recent volatility in the USD/INR exchange rate, policy makers may place enough checks and balances (viz., strict compliance of Know Your Customer norms, full disclosure standards regarding FIIs) over destabilizing speculative transactions in order to maintain stability in the financial markets. Forward premia are influenced by a large no of forces, both quantitative and qualitative. The following table portrays some of the qualitative attributes.

It is evident from Table 14 that most of the respondents agreed that qualitative attributes like market sentiments, expectations, political stability and financial news play a major role in determination of forward premia. The research studies conducted by Sharma and Mitra [5], Kumar and Mukherjee [15] also supported this view. However, it may be inferred from the survey results that force majure events have a lesser impact on forward premia in comparison with other factors. Ajay Shah and Ila Patnaik [8] highlighted that forward market in India consists of exporters and importers who are free to hegde or not to hedge depending on their expectations about currency movements, which affects forward premia. Exchange rate volatility is determined by strong seasonal patterns, by arrival of the news and the revelation of private information [30]. Currency Futures were introduced in the Indian foreign exchange market in August 2008. As they have lower counter party risk and higher ease in execution, they are likely to overtake forward contracts in the next 5 years.

Non- Quantitative factors a) Yes b) No c) Can’t say
i) Political stability 179
(84.83%)
14
(6.64%)
18
(8.53%)
ii) Market sentiments, rumours& expectations 189
(89.57%)
14
(6.64%)
8
(3.79%)
iii) Force majure events viz., Tsunami, terrorism 133
(63.03%)
42
(19.91%)
36
(17.06%)
iv) Financial news (Rating of Indian economy by S&P, Moody's) 171
(81.04%)
17
(8.06%)
23
(10.90%)

Table 14: Role of Qualitative Forces in Forward Market.

According to the results furnished in Table 15, 39% of the respondents felt that ‘futures’ might not replace ‘forward contracts’ as the latter are ‘Over The Counter (OTC) contracts’ and offer tailor made solutions to the market participants. However, 31% of the respondents are indecisive in this regard since both the products (i.e., Forwards and Futures) are equipped with unique advantages/properties that suit risk profile of the participants. Volumes in Futures and Options segment in India increased from Rs. 3.12 lakh crores in 2008-09 to Rs.84.06 lakh crores in 2010-11. This explosive growth in Futures segment is primarily due to ‘Mark to Market facility’ (cash settlement), speculative nature of transactions (non-requirement of production of underlying exposure) and freedom ‘to cancel & re-book’ the contracts (see, RBI Annual Report, 2010-11, Table 13, pp.182; and pp.47). Further, it is observed that the turnover in the forward market (outright forwards and swaps) stood at USD 27.15 billion (equivalent to around Rs.1.50 lakh crore) during the year 2011-12. Hence, it is inferred that both forwards and futures may continue to retain their respective market shares in future. So the policy makers may devise guidelines to deepen the forward and futures markets further. Volumes in MIFOR (Mumbai Inter-bank Forward Offer Rate), Non Deliverable Forward markets (NDF) and Currency Futures affect the forward premia.

Response a) Yes b) No c) Can’t say
No. of responses (in percentage) 63 (29.86%) 82 (38.86%) 66 (31.28%)

Table 15: Forward Market vs. Futures Market.

It is evident from Table 16 that 65% of the respondents felt that the volumes in foreign exchange derivatives viz., Mumbai Inter-bank Forward Offer Rate (MIFOR), Non-Deliverable Forward (NDF) contracts and Currency futures affect the forward premia. Misra and Behera [22] suggested that NDF market might be regularly monitored to keep track of the pressures operating on the INR (Covered Interest Arbitrage). As India mainly depends on oil imports, majority of Indian oil companies book forward contracts to mitigate their exchange rate risks; and the same will affect forward premia.

Response a) Yes b) No c) Can’t say
No. of responses (in percentage) 137 (64.93%) 37 (17.54%) 37 (17.54%)

Table 16: Impact of Other Markets on Forward Market.

It can be observed from Table 17 that 80% of the responses are in favour of this view. As India, on an average, imports 80% of its oil requirement and the same accounts for nearly 30% of the total import bill, oil companies resort to booking of forward contracts in large scale; and this will have an impact on the forward premia [6,31].

Response a) Yes b) No c) Can’t say
No. of responses (in percentage) 168 (79.62%) 24 (11.38%) 19 (9%)

Table 17: Impact of Crude Oil Price on Forward Market.

Given India’s vulnerability to international oil price shocks and consequent inflationary conditions, the regulatory authorities may evaluate the impact of escalation in crude prices on the Indian economy in general and exchange rates/forward premia in particular. In case of extreme volatile conditions, the monetary authorities may think of novel solutions in this regard. For example, RBI sold USD directly to the ‘Oil Marketing Companies’ (OMCs) when these companies faced acute shortage of US Dollars during the Global Financial Crisis; this move evened out the mismatches in demand and supply conditions in the market to some extent. The world may move to a single currency regime by 2030, thereby making forward market irrelevant (Table 18).

Response a) Yes b) No c) Can’t say
No. of responses (in percentage) 10 (4.74%) 156 (73.93%) 45 (21.33%)

Table 18: Relevance of Forward Market in Future.

Japanese yen, Chinese Yuan, Pound Sterling, Euro and USD are major convertible currencies of the world. However, the USD is likely to retain its dominant position in the international financial markets in the near future. The results reveal that 74% of the respondents voted against single currency regime by 2030. Hence, it is understood that forward market would continue to be an essential segment of financial markets.

Indian foreign exchange market–both spot and forward segments– experienced volatility during the East Asian currency crisis (1997-98), Pokhran nuclear blasts (1998), Kargil war (1999) and recent global financial meltdown (2008). RBI played a proactive role by using its policy instruments like direct intervention during these periods.

This view is affirmed by 94% of the respondents of the survey as per Table 19. Hence, it is inferred from the results that RBI played a proactive role through direct intervention in the market during the times of crises as cited above. Besides, RBI resorted to administrative and regulatory measures and advised the participants through press statements/moral suasion to bring in orderly conditions in the foreign exchange market (Refer Report on ‘Currency and Finance’, RBI, 2008- 09, pp. 191-292). Hence, it is suggested that RBI may continue to adopt these strategic initiatives in future also.

Response a) Yes b) No c) Can’t say
No. of responses (in percentage) 199 (94.31%) 9 (4.27%) 3 (1.42%)

Table 19: Role of RBI in Indian Forex Market.

Conclusion

It is construed from the questionnaire survey results that forward contracts play an important role in addressing the exchange rate risk. Majority of the respondents accepted that Indian foreign exchange market has been evolving as a deep, liquid and efficient market over the years. Further, they expressed that ‘expectations’ and ‘forward rate’ do influence future USD/INR spot rate. The results indicate that the market fundamentals and their lagged values have a visible impact on forward premia. The respondents felt that NRIs/foreign investors are driven not just by ‘interest arbitrage opportunities’ but by ‘strong India specific growth avenues’. It is found that surge in portfolio flows from FIIs have an impact on the foreign exchange market in general and on the forward premia, in particular. Most of the people agreed that qualitative attributes like market sentiments, expectations, political stability and financial news play a vital role in determination of forward premia. It is felt that forwards and futures would continue to retain their respective market shares in the Indian foreign exchange market since both of them have unique features in minimizing the exchange rate risk. It is evident from the responses that international oil price has a marked impact on the movement of forward premia due to India’s heavy reliance on oil imports. Further, the survey results reveal that multi-currency regime and forward market would co-exist in future. There is a unanimous view that RBI played a proactive role in bringing down volatility in the Indian markets during the financial crises in the past.

References

  1. Reddy T (2008) Factors influencing forward premia in Indian markets. Rakshitra 7: 5-7.
  2. Bhatti RH,Moosa IA (1995) An alternative approach to testing uncovered interest parity. Applied Economics Letters 2: 478-481.
  3. Lothian JR,Liuren Wu (2011) Uncovered interest parity over the past two centuries. Journal of international money and finance 30: 448-473.
  4. Hakkio SC (1980) Expectations and the forward exchange rate. NBER Working Paper no. 439.
  5. Sharma, Anil Kumar, Anujit M (2006) What Drives Forward Premia in Indian Forex Market? RBI Occasional Papers 27: 119-139.
  6. Kulkarni A (2006) An Analysis of Forex Market Intervention: Evidence from India. Indian Journal of Economics and Business 5: 139-152.
  7. George Preeta,MallikDebasis (2009) Covered Interest Parity and International Financial Integration: The case of India. The ICFAI Journal of Applied Finance 15: 58-74.
  8. Shah A,IlaPatnaik (2005) India’s Experience with Capital Flows: The Elusive Quest for a Sustainable Current Account Deficit The National Bureau of Economic Research (NBER) Working Paper No. 11387
  9. Varma JR (1997) Indian Money Market: Market Structure, Covered Parity and Term Structure. ICFAI Journal of Applied Finance 3: 1–10.
  10. Batten JA,Szilagyi PG (2006) Arbitrage, Covered Interest Parity and Long-Term Dependence between the US Dollar and the Yen. Physica A: Statistical Mechanics and its Applications 376: 409–421.
  11. Meese R,Rogoff K (1983)Empirical exchange rate models of the seventies. Do they fit out of sample? Journal of International Economics 14: 3-24.
  12. Bank for International Settlements (2010) Triennial Central Bank Survey: Report on Global Foreign Exchange Market Activity in 2010. Basel, Switzerland: Monetary and Economic Department, BIS.
  13. Reserve Bank of India (RBI). Report on Currency and Finance, various issues. Mumbai: RBI.
  14. GoyalAshima (2010) Evolution of India’s exchange rate regime IGIDR, Working Paper No.24.
  15. Mohan R (2007) Development of Financial Markets in India. Forum, Mumbai, BIS Review 51.
  16. Phillips PCB, McFarland JW (1997) Forward exchange market unbiasedness: The case of the Australian Dollar since 1984. Journal of International Money and Finance 16: 885-907.
  17. Smoluk H, Vasconcellos GM, Kramer J (1998) Random walks in the UK Pound/USD exchange rates. International Review of Financial Analysis 7: 65-82.
  18. Newbold P, Wohar M, Rayner T, Kellar N,Ennew C (1998) Two puzzles in the analysis of foreign exchange market efficiency. International Review of Financial Analysis 7: 95-111.
  19. Chaboud AP, Wright JH (2005) Uncovered interest parity: it works, but not for long. Journal of International Economics 11: 349-362.
  20. Della Corte, Sarno PL,Tsiakas I (2009) An economic evaluation of empirical exchange rate models. The Review of Financial Studies 22: 3491-3530.
  21. Lewis KK (1995) Puzzles in International Financial Markets. In G. Grossman and K. Rogoff, eds., Amsterdam: Elsevier Science.The H andbook of International Economics 3: 1913-1971.
  22. Misra S,Harendra B (2006) Non-Deliverable Foreign Exchange Forward Market: An Overview. RBI Occasional Papers 27: 25-55.
  23. Jain S, Murthy NR (2005) Financial markets integration in India. Asia-Pacific Development Journal 12: 15-32.
  24. Bhatt V,Arvind V (2005) Global Integration of India’s Money Market: Interest Rate Parity in India. ICRIER Working Paper No. 164, July.
  25. Frenkel JA,Levich RM (1975) Covered interest arbitrage: Unexploited profits? Journal of Political Economy 83: 325-338.
  26. JalanBimal (2003) Exchange rate management: An emerging consensus? RBI Bulletin 47: 583-592.
  27. Verma R, Anand P (2011) Sensitivity of Capital Flows to Interest Rate Differentials: An Empirical Assessment for India. RBI Working Paper Series: 7/2011, Dept. of Economic and Policy Research (DEPR).
  28. Rose AK (2000) One Money, One Market: Estimating the Effect of Common Currencies on Trade. Economic Policy 15: 7-45.
  29. Bauwens L, Omrane WB,Giot P (2005) News Announcements, Market Activity and Volatility in the Euro/Dollar Foreign Exchange Market. Journal of International Money and Finance 24: 1108-1125.
  30. Srikanth M, Kishore B (2013) Exchange rates and Forward premia in Indian Foreign Exchange Market: A study of USD/INR. ArthaVijanana 3: 308-325.
Citation: Srikanth M, Chittedi KR (2014) Perspectives on Forward Premia in India Forex Market: A Study of USD/INR. J Stock Forex Trad 3:131.

Copyright: © 2014 Srikanth M, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Top