Signaling in CNX nifty futures: a perceptual approach.
Barik, Prasanna Kumar ; Supriya, M.V.
Introduction
The Indian futures trading system exists with passive day orders
through the hierarchy of clearing members, branch managers, dealers,
brokers and sub-brokers. Depending on the valid order entry in the
market, clearing entities execute orders with clearing and settlement
process. Here apart from the leveraging activities of derivatives
instruments, one can benefit from both a downturn as well as an upturn
market situation. Therefore, one can make money in both bull and bear
market situations. However, the pathetic situation is that the above
opportunity is not available to all of the market participants like
investors, dealers, brokers, sub-brokers and market operators. This is
also not easily and conveniently accessible to the retail investors.
This leads to the autonomy, accountability, and transparency issues. In
this context, the trading behaviour in asymmetric information situation
is matter of concern. The market participants' trading behaviour
affects the market making. Hence, it is pertinent to understand their
strategies. These market strategies have a direct bearing on valuation.
Moreover, the informational gap among the market participants is a cause
of concern.
In this context, studies like, the job market signaling (Spence,
1973 and 1974), the financial incentive signaling approach (Ross, 1977),
the signaling hypothesis test on Harris and Raviv (1985) by Acharya (1988), and signaling in insurance market by Rothschild and Stiglitz
(1976), are relevant. The 'lemon' effect on market making
(Akerlof, 1970), 'learning process through the signaling
instruments' suggested by Miller (2002), and the market making
analysis with order flow (Schultz, 2003) are significant other
contributions in this context. Chung et al., (1999) have examined the
role of the limit order traders' intraday competitiveness, in limit
order placements and executions. Chow et al., (2002) have examined the
various aspects of trading behaviour and found that both the
institutional traders and individual traders supply liquidity in Taiwan
stock exchange. The institutional traders do not trade on margin.
Bondarenko and Sung (2003) have concluded in their paper that the market
makers wish to trade against the market trend when the realized depth of
the limit book is significantly lower than the critical value and vice
versa. Naresh (2006) has found that in National Stock Exchange of India
Ltd. (NSE), the market participants are not satisfied with the
margining, cross-margining, minimum contract size, transaction tax,
physical settlement, and eligibility requirement for the introduction of
new derivatives. However, they are satisfied with the existing systems
like the investors' protection, position limits, contract on the
new indices, and use of derivatives by mutual funds.
Prasanna Kumar and Supriya (2005, 2007a, 2007b) have found that the
signaling devices like efficient order entry system and efficient
valuation are necessary to make a signaling equilibrium at NSE futures
market. Through these informational norms, they have defined and
measured the market activities like hedging, speculation, and arbitrage.
It is observed that the market is not achieving the hedging, speculation
and arbitrage positions efficiently. Therefore, futile trading and
inconsistent profit maximization exist, suggesting the monopoly
character of the market. At NSE F&O during the trading hours, it is
observed that sub-brokers and individual investors trade in the
derivatives. Sub brokers submit the limit orders through their
subordinates. These are placed on behalf of their clients. These clients
completely rely on the advice of sub-brokers for market information.
This is usually disseminated through telephone. Investors on the other
hand trade at the trading terminals on their own. They make decisions to
invest on their own. It is observed that the market or limit orders are
executed based on the tick value of the contract. Buy and sell orders
are matched electronically. In effect, the particular passive limit
order is used as the basis of trade. However, it appears that there is a
gap in the information on market, its components, and characteristics
available to the sub-brokers and investors. This may influence the
trading in the market. Considering all these factors, the present study
attempts to understand whether such an informational gap really exists
among the market participants?
Methodology
This study relies on the responses to a field survey, which was
conducted during the month of March 2008 to May 2008. The survey was
carried out at Hubli-Dharwad city (Karnataka, India).This geographical
area consists of twenty-one NSE traders. Of these, six are NSE futures
and options (NSE F&O) sub-brokers and fifteen investors who are
actively trading at NSE F&O. A questionnaire was prepared and
administered for this purpose. This questionnaire has questions related
to the demographic details of sub-brokers and investors, the nature and
functioning of nifty trading, and its microstructure. The findings of
prior studies like Naresh (2006), Prasanna Kumar and Supriya (2005),
Prasanna Kumar and Supriya (2007a and 2007b), and studies like those of
Miller (2002), Bloomfield et. al. (2003), Schultz (2003), Chow et. al.
(2002), Werner (2003) etc. have influenced the choice of the questions.
The purpose of the questionnaire is to conduct a comparative analysis,
which is used to understand perceptual differences if any between the
sub-brokers and the individual investors.
Results and Discussion
The demographic profile of the respondents has been shown in
Table1. It can be seen that both sub-brokers and investors are educated
enough for any kind of market trading. However, in the NSE F&O
market, 67 per cent of sub-brokers have done professional courses
related to the securities and derivatives market. About 83 per cent of
sub-brokers have relevant training in these areas. About 67 per cent of
investors have not done any professional courses on securities and
derivatives market, and sadly, 73 per cent of them do not have any
training in these areas. It suggests the need for emphasizing on
appropriate education and training for investors to trade efficiently in
this market. In addition, 33 per cent of sub-brokers have less than 100
clients and 67 per cent have over 100 clients. Also 83 per cent of
sub-brokers have the expectation that participation of the total number
of clients in both securities and derivatives markets will increase. As
far as trading volume is concerned, 50 per cent of NSE F&O
sub-brokers are trading with daily nifty trading volume worth of 50, 00,
000 INR. About 17 per cent of NSE F&O sub-brokers are trading with
daily nifty trading volume worth of 80, 00, 000 INR.
The demographic profile suggests that the derivatives market
consists of fairly well educated, rational, and informed market
participants. The Indian derivatives market is about eight years old.
There is a possibility that trading in derivatives may see a rise in the
near future. Given the volatility reported in the securities market
across the globe it is natural that derivatives would be used for
hedging. Therefore, the derivatives market is likely to witness more
trading and client participation. Majority of the sub-brokers (67 per
cent) have opined that they have comfortable trading relations with
other market participants like dealers, brokers, and investors.
Questions on profitability yielded mixed responses (see Table 2).
About 33 per cent of sub brokers agreed that the daily nifty
trading volume is enough for ensuring profit .The remaining respondents
were non-committal on this issue. In addition, all sub-brokers have
agreed that daily open interest for nifty trading is not enough for
assuring the profit. However, 80 per cent of investors have opined that
daily nifty trading volume is sufficient to assure profit .Where as 20
per cent of them have opined that daily open interest is not sufficient
to assure profit. Considering these inconsistencies, the question that
arises is 'what factors affect the trading volume'. From the
responses, it is observed that 83 per cent of sub-brokers and 67 per
cent of investors have agreed that the trading volume and open interest
heavily depend on the geographically local market. It is observed that
local trading is preferred to out of state and foreign trading. Here
local trading indicates trading by investors and sub brokers on behalf
of client investors within the Hubli-Dharwad region. Sub-brokers of this
region are therefore able to influence the investments of their client
investors and thereby influence market making. In addition, 50 per cent
of sub brokers and 73 per cent of investors expressed that online
trading is convenient. Since trading preference is localized, there is a
need for local advertisements for nifty trading. This will provide
necessary information and knowledge about financial instruments like
futures and options and their underlying variables (FUTIDX, OPTIDX
etc.). This will have a reach on grass-root traders.
About 50 per cent of sub-brokers and 33 per cent of investors have
said that all the passive orders are executed. About 83 per cent of
sub-brokers and 80 per cent of investors have said that all the passive
orders are executed through the front end of Regular Book. Again, 83 per
cent of sub-brokers have agreed that good-till-day orders are preferable
than other types of orders like day, good-till-cancelled and
fill-or-kill orders. Where as, 53 per cent of investors have not
reported any such preference. The difference in preferences implies an
information gap on the nature and functioning of orders in the market.
In addition, 73 per cent of investors have opined that it is easy to
trade with market orders than limit orders where as only 17 per cent of
sub-brokers have agreed to the same. Therefore, according to investors,
the limit price is seldom realized in the market. Where as, according to
the majority of sub-brokers immediate best price is not available in the
market. Therefore, they prefer limit orders. From this, we can conclude
that the nifty price rarely reflects its true value. Therefore,
asymmetric information exists in the market. In addition, 80 per cent of
investors and 50 per cent of sub-brokers have agreed that order
executions face basis risk with different costs. This is because of the
marked difference between spot and futures price. This indicates the
existence of inefficient order executions. Most of the respondents have
responded that submission of both market and limit orders are high
during the initial and in-between initial and last periods of nifty
trading. In these trading periods, 68 per cent of respondents have said
that there are large numbers of hedgers. Futile trading was reported
(see Table 3) by respondents.
About 78 per cent of both groups have reported hedging experiences
with futile trading. It is in this context, the question of
'hedging effectiveness' for nifty futures trading arises. In
addition, all sub brokers and 67 per cent of investors have said that
large number of speculators exists. Moreover, 84 per cent of sub brokers
and 67 per cent of investors report speculation experiences with futile
trading. Therefore, the question on 'rational speculation' for
nifty futures trading arises. Almost all the respondents have said that
'arbitrage' does exist. The transaction cost is well adjusted
with it. In other words, at the delivery of underlying asset the impact
cost is well adjusted with the futures price, which converges to spot
price through the settlement price. However, the issue of increasing or
decreasing rate of transaction or impact cost in relation to the rate of
market or limit order submission exists.
At NSE F&O market, the tick size is enough for trading
activities. This is what 83 per cent and 73 per cent of both sub-brokers
and investors have agreed. In addition, 67 per cent and 73 per cent of
sub brokers and investors have agreed that the present tick size is
enough to place market or limit orders. Most of the respondents have
said that the tick size affects the submission of market and limit
orders and vice versa. The tick size and hence the tick value for
placing market and limit orders is high during the initial periods of
the nifty trading than other periods of trading. Here, the tick value is
equal to the product of tick size and the contract size. Most of the
investors have responded that NSE has defined the tick size for nifty
trading at Re. 0.05. The tick size and hence the tick value is one of
the important variables which influences the nifty price formation, and
hence determines the trading volume and return. Majority of the
respondents have said that the tick size is very much related with the
trading margin. Sub brokers observed that all types of margin are at the
satisfactory level. In this study, 60 per cent of the investors are not
ready to accept that all margins except initial margin are at the
satisfactory level. Hassles in margin trading are experienced according
to 53 per cent of investors. Here, hassles in margin trading arise on
account of asymmetric information. In addition, despite the assurance of
brokerage commission and availability of resources from call money
market, traders experience difficulties that can impact trading. Market
participants usually have access to the call money market. This is
agreed to by 50 per cent and 60 per cent of sub-brokers and investors
respectively. Most of the respondents have said that there is 100 per
cent fund availability through call money markets to depository participants and clearing banks. They feel that the call money rate may
be an alternative to the bank rate for borrowing and lending financial
resources for investment purposes.
Conclusion
The survey result implies that the tick size, the tick value,
trading margin, trading transaction cost, and scarcity of financial
resources influence the trading return. In this context, studies like
Bali and Hite (1998) and Frank and Jagannathan (1998) also observe that
the tick size and the bid-ask bounce cause changes in premium and
returns (cited in Graham et. al., 2003). Whereas other studies like
Graham et. al. (2003) and Jakob and Ma (2004, as cited in Graham et.
al., 2003) are inconsistent with these findings. The sub brokers are
more experienced in trading in both the securities and derivatives
markets. This may give them an edge over the investors while trading.
Consequently, there is a need to provide appropriate training avenues to
the individual investor. Current initiatives in investor education are a
step in the right direction. However, there is a need to devote more
attention on trading in the derivatives market. This is because trading
in derivatives is of recent origin in India. Individual investors may be
apprehensive of it. As trading is largely localized, there is a need for
improving the reach of advertisements. More particularly, the
advertisements need to be in the vernacular so that it is better
understood. These advertisements will provide complete information and
consequently draw investors to the derivative products. These twin
measures will go a long way in reducing the differences in perceptions
of sub brokers and investors. Thereby, the chances of market inequities
arising out of asymmetric information can be reduced if not completely
removed.
References
Acharya, S. (1988), A generalised econometric model and tests of
signaling hypothesis with two discrete signals, The Journal of Finance,
Vol. 53 (2), pp. 413-429.
Akerlof, G. A. (1970), The market for 'lemons': quality
uncertainty and the market mechanism, The Quarterly Journal of
Economics, Vol. 84 (3), pp. 488-500.
Bali, R. and Hite, G. L. (1998), Ex-dividend day stock price
behaviour: discreteness or tax-induced clienteles? Journal of Financial
Economics, Vol. 47, pp. 127-159.
Bloomfield, R., O'Hara, M. and Saar, G. (2003), The "make
or take" decision in a electronic market: evidence on the evolution
of liquidity, Proceedings of 13th Annual Utah Winter Finance Conference,
pp. 1-56.
Bondarenko, O. and Sung, J. (2003), Specialist participation and
limit orders, Journal of Financial Markets, Vol. 6, pp. 539-571.
Chung, Kee H., Van Ness, B. F. and Van Ness, R. A. (1999), Limit
order and the bid-ask spread, Journal of Financial Economics, Vol. 53,
pp. 255-287.
Chow, E. H., Hsu, Y. L. and Tso, I. (2002), Liquidity providers on
an electronic order-driven market, www.ssrn.com, SSRN ID 302634. pp.
1-52.
Edwards, F. R. and Ma C. W. (1992), Futures and Options, Singapore
McGraw-Hill Inc.
Frank, M. and Jagannathan, R. (1998), Why do stock prices drop by
less than the value of the dividend? Evidence from a country without
taxes, Journal of Financial Economics, Vol. 47, pp. 161-188.
Graham, J. R., Michaely, R. and Roberts, M. R. (2003), Do price
discreteness and transaction costs affect stock returns? Comparing
ex-dividend pricing before and after decimalization, The Journal of
Finance, Vol. 58 (6), pp. 2611-2635.
Harris, M. and Raviv, A. (1985), A sequential signaling model of
convertible debt call policy, Journal of Finance, Vol. 40 (5), pp.
1263-1281.
Hull, J. C. (2003), Options, Futures and Other Derivatives, Pearson
Education, New Delhi.
Iarossi, G. (2006), The Power of Survey Design, A User's Guide
for Managing Surveys, Interpreting Results, and Influencing Respondents,
Washington D. C, The World Bank.
Jakob, K. and Ma, T. (2004), Tick size NYSE rule and ex-dividend
118, day stock price behavior, Journal of Financial Economics, Vol. 72
(3), pp. 605-625.
Miller, R. M. (2002). Can markets learn to avoid bubbles?
www.ssrn.com, SSRN ID 299674. pp. 1-16.
Naresh, G. (2006), Views of the market participants on trading
regulations in the derivatives market, www.ssrn.com, SSRN ID 876877. pp.
1-18.
Prasanna Kumar, B. and Supriya, M. V. (2005),. Signaling in Indian
futures market, The ICFAI Journal of Applied Finance, Vol. 11 (4), pp.
13-30.
Prasanna Kumar, B. and Supriya, M. V. (2007), S & P CNX nifty
futures at NSE India: an empirical analysis, Asia-Pacific Business
Review, Vol. 3 (1), pp. 67-90.
Prasanna Kumar, B. and Supriya, M. V. (2007), Signaling in S &
P CNX futures market at NSE, India, Decision, Vol. 34 (1), pp. 183-212.
Ross, S. A. (1977), The determination of financial structure: the
incentive-signaling approach, The Bell Journal of Economics, Vol. 8(1),
pp. 623-641.
Rothschild, M. and Stiglitz, J. (1976), Equilibrium in competitive
insurance markets: an essay on the economics of imperfect information,
Quarterly Journal of Economics, Vol. 90 (4), pp. 629-649.
Schultz, P. (2003), Who makes markets, Journal of Financial
Markets, Vol. 6, pp. 49-72.
Spence, M. (1973), Job market signaling, The Quarterly Journal of
Economics, Vol. 87 (3), pp. 355-374.
Spence, M. (1974), Competitive and optimal responses to signals: an
analysis of efficiency and distribution, Journal of Economic Theory,
Vol. 7, pp. 296-332.
Werner, I. M. (2003), NYSE order flow, spreads and information,
Journal of Financial Market Vol. 6, pp. 309-335.
Prasanna Kumar Barik, Centre for Multi-disciplinary Development
Research, Lakamanahalli, Dharwad--580004, Karnataka, India. E-mail:
barikpk@yahoo.com
M V Supriya, Department of Management Studies, Anna University,
Chennai--600025, Tamil Nadu, India, E-mail: mvsupriya@hotmail.com
Table 1: The Demographic Profile of
the Respondents.
Sub-broker Investor
Variables
Percent Percent
Age
20-30 50.00 53.33
30-40 16.67 26.67
Above 40 33.34 20.00
Education
Graduate 50.00 67.00
Post Graduate 50.00 33.00
Knowledge in Trading (Professional Course)
Yes 67.00 33.00
No 33.00 67.00
Knowledge in Trading (Practical Training)
Yes 83.00 27.00
No 17.00 73.00
Securities Trading Experience
Above 15 years 16.67 6.67
5-15 years 50.00 --
Less than 5 years 33.33 93.34a
Derivatives Trading Experience
Above 5 years 50.00 6.67
3-5 years 33.33 40.00
Less than 3 years 16.67 46.67
Table 2: Assessment of Profitability of Trading
Yes No Uncertain
Variables
Percent Percent Percent
Trading Volume
Sub-brokers 33.00 -- 67.00
Investors 80.00 20.00 --
Daily Open Interest
Sub-brokers -- 100.00 --
Investors 80.00 20.00 --
Table 3: Futile Trading
Activity Sub-brokers Investors
Hedging 78% 78%
Speculation 84% 67%