New insights into the events on the Indian stock market in the mid-1990s

Liquidity matters

One of the most important features of a financial market is liquidity. In a well functioning market, a trader faces low costs of transacting and can confidently expect that at future dates, across many states of nature, the cost of transacting will prove to be
low.

The immediate impact of a low cost of transacting is that it imposes a lower `tax’ upon the speculator, who brings new information
into prices, and the arbitrageur, who removes obvious mistakes in prices. The long-term impacts that are obtained when the trader can confidently expect that transactions will be inexpensive are in two parts. When investors expect to waste money in buying and then selling a certain security, they demand higher rates of return from it: i.e., the cost of capital for the issuer goes up. And, when traders are confident that high liquidity will persist into the future into a diverse array of states of nature, they will more confidently embark upon dynamic trading strategies which are required for producing useful securities such as options.

Measurement of liquidity

In an electronic limit order book market, a static concept of liquidity is eminently visible: you look at the order book and work
out what is the impact cost faced when doing transactions of a desired size. E.g. it is easy to take order book data from NSE and work out the impact cost seen for doing a transaction of Rs.10,000 for all companies.

Impact cost accurately measures the instantaneous cost faced when placing an order of the stated size. It is a observed precisely in a modern exchange setting. There are two weaknesses. No large order is going to be placed as one single market order into the order book. Hence, the analysis of the NSE order books does not guide us in understanding liquidity when doing large sized transactions, e.g. Rs.1,000,000. The moment we think of orders that are spaced over a short time (e.g. I break up an order for Rs.1 million into 100 orders of Rs.10,000 each) or over a long time (e.g. dynamic hedging of an option book) I have to worry about the fluctuations of impact cost, or my liquidity risk.

The biggest problem lies in the fact that in numerous market situations, order book information is not observed. Two key areas are:
the deep past, before order book data existed, and the OTC market, where there is no order book. E.g. the CMIE daily returns data for BSE starts from 1/1/1990. NSE equity trading began in 11/1994. But NSE’s order book snapshots (thrice a day) only exist from 4/1996 onwards. For the period prior to 1996, there is no data on liquidity.

The power of range

The first flush of the financial economics focused on returns. It was amazing, the amount of interesting work that could be done once you had assembled a dataset with daily returns. This was first done at the Centre for Research on Security Prices (CRSP) at the University of Chicago, and it made possible an entire generation of financial economics.

As an example, the ARCH model is a very clever way to utilise pure returns information and construct a time-varying notion of
volatility. Models of the ARCH family assumes that volatility is deterministic, and that it responds to realisations of returns.

A remarkably important fact looks beyond returns to the range between the day’s high and the day’s low price. When volatility is high, the range is higher. Range is a volatility proxy. This has been known for a while — e.g. On the estimation of security price volatilities from historical data, M. B. Garman and M. J. Klass, page 67–78, Journal of Business, 1980.

In the late 1990s, people got back to looking at this in a new way. We understood that range is an enormously informative
volatility proxy. There is much more information in the range of the day than is found in the squared returns of the day.

Another new volatility proxy is `realised volatility’, where you difference intra-day returns to construct a time-series of returns
within the day. As an example, in an 8-hour trading day, there are 480 minutes. So you could difference returns into 5-minute
intervals, and you have 96 readings of returns on each day. The standard deviation of this is a good measure of the volatility of the
day. As an example, the recent paper by Grover and Thomas, Journal of Futures Markets, August 2012, does performance evaluation for a VIX estimator by asking for better predictions of future realised volatility.

In the ARCH world, volatility of the day was not observed, and squared daily returns was a poor proxy for this. Realised volatility is a highly precise estimator of the volatility of the day, and range is also remarkably good.

Constructing a deep history of stock volatility

Using intra-day data, it is possible to construct a realised volatility for every security for every day. This is obviously infeasible for the period when intra-day data is not observed – e.g. in India before electronic trading came along, i.e. before November 1994.

But as long as the day’s high and the day’s low are observed, one can construct a range-based measure, and thus push deeper into
history.

Constructing a deep history of stock liquidity

When trading is electronic, it is possible for the exchange to produce `snapshots’ of the limit order book, as has been done by NSE
from April 1996 onwards. Using these, it is easy to get precise estimates of the spread for all stocks. But what about the period
before that?

I just read a fascinating paper: A Simple Way to Estimate Bid-Ask Spreads from Daily High and Low Prices by Shane A. Corwin and Paul Schultz, Journal of Finance, April 2012. Their key insight is that the day’s high is almost always at the ask and the day’s low is almost always at the bid. When the high/low is computed over two days, the variance is doubled but the spread component is intact. This generates a mechanism for extracting a spread estimator using only high-low data.

I liked the paper a lot. At its best, finance is close to data, the data has low measurement error, the work is careful and grounded in a
detailed institutional understanding of reality, and the results open up new lines of inquiry.

Using these new ideas, it becomes possible to dig into history, using the CMIE data for BSE which goes back to 1/1/1990, and construct liquidity measures for that deep period.

The authors do precisely this:

They show a big and dramatic drop in the spread at the time when electronic trading came in. There are three key dates here: NSE
started electronic trading on 3 November 1994, BSE started electronic trading on 14 March 1995 and in November 1995, NSE became the dominant exchange [link]. This is a valuable addition to our understanding of these events. I do
worry about mistakes in measurement of the day’s high and day’s low, however, prior to the onset of electronic trading at NSE in November 1994.

I found it fascinating, how a 2012 paper has produced a better understanding of our history of the mid-1990s.

Understanding the badla episode

What is equally interesting, and what is not mentioned by the authors, is the dog that did not bark prior to the launch of NSE. This
is the event where SEBI forced BSE to stop badla trading.

I had worked on this question at the time (in 1996). I had rigged up a matching scheme where each A group company (where badla
trading used to take place) was matched against a partner from the B group (where there had never been badla trading). This allowed
you to construct a hedged portfolio: long the A group companies and short the B group companies. The performance of this portfolio is:

This hedged portfolio has a most satisfying zero return in the days before SEBI’s decision. This gives us confidence that the matching is done well. The two big dates of SEBI decisions — 12 December 1993 and 12 March 1994 — show big negative returns for A
group companies. And from 4 November 1994, when trading at NSE began, we start seeing a recovery.

At the time, this was interpreted at the time as a liquidity premium. See Short-term traders and liquidity: A test using Bombay Stock Exchange data by Berkman and Eleswarapu, Journal of Financial Economics, 1998, who worked this out nicely.

But the new evidence for the deep history of spreads on the BSE, by Corwin and Schultz, suggests that there was no big change in
liquidity in 1993 or 1994
. This raises new questions about why such large price reactions were observed. I used to think this was a
great liquidity premium story; now I’m not so sure. I’m pretty certain that A group companies had sharp negative returns in early 1994, but I am now less sure that we know why.

How low is low?

So I typed this up and discovered at the end something else of wonkish note.  Calculating the Pittsburgh region’s unemployment rate is a bit less clear than I thought.. and I already thought we overinterpret these monthly data dumps for a host of reasons.  So the state Department of Labor reported that the Pittsburgh region’s unemployment rate, when seasonally adjusted, came in at 6.7% for February (and my division of their numbers gets you to the ominous 6.66%)   OK.  That is what we all normally look at and the number the media reports on.  Just recently the US Bureau of Labor Statistics started reporting its own seasonally adjusted unemployment rates for the Pittsburgh region.  In the past BLS reported the unadjusted unemployment rates for most MSAs but only seasonally adjusted rates for a subset of regions which didn’t include Pittsburgh in recent years.  Last year they started reporting their own seasonally adjusted rates for most MSAs. The BLS calculation of the seasonally adjusted unemployment rate for Pittsburgh in February is 6.8%

Which to use?  For the comparison across MSAs I’ll stick with the BLS calculation for the moment.

So how (relatively) low is the region’s unemployment rate?  The top 40 labor markets are in the graph below.  The 5 places with lower unemployment rates include 2 regions with sizable presence of government jobs (Washington and Virginia Beach)…  government jobs which Pittsburgh lacks.. and two regions which may top us in the proportion of higher education related employment (Boston and Austin). Leaves only Minneapolis.   Their low unemployment rate must be because of all the bikes.

Yes, of course… the ‘relative’ unemployment rate is not really relevant to anyone individually.  In reality unemployment is either zero or 100% depending on your personal circumstances.  Still, how high is the region’s unemployment rate?  Since 1970, the region’s average unemployment rate works out to be a bit over 6.6%.  The nation’s average unemployment rate works out to 6.4%.  So we have a bit to go to reach those levels… but at (6.7 or 6.8) it is not a big jump.

Brazil's Biofuel Boom: Mark McHugh

Mark McHugh Believe it or not, industry experts see biofuels accounting for up to 25% of global energy consumption by 2050. With this long-term vision in mind, Mark McHugh, president and CEO of consultancy firm CenAm Energy Partners SA, assesses the current biofuel industry from his base in Brazil, the seat of the growing industry. In this exclusive interview with The Energy Report, McHugh explains why specialized energy feedstocks are the solution to current technological and political growth constraints, predicting that biofuel investment returns may rival historic fossil fuel profit ratios.

The Energy Report: The biofuels sector encompasses a range of products. Can you give us an overview of this commodity space and how production processes differ?
Mark McHugh: Biofuels are derived from agricultural commodities. There are three types of “first-generation” biofuels, two liquids and one solid. Bioethanol is added to gasoline. It is produced largely from corn grown in the U.S., sugar beets grown in Europe and sugar cane grown in Brazil. Biodiesel is produced from vegetable oils and/or animal fats. The third biofuel is biomass or biomass pellets, which are used in electricity generation to replace coal. The pellets are produced from wood chips or renewable energy crops.

TER: With traditional fossil fuel prices ever steeper, is it possible that biofuels could take over a significant share of that market?

MM: Energy scenarios produced by Royal Dutch Shell Plc (RDS.A:NYSE; RDS.B:NYSE) and the World Energy Council project that by the year 2050, biofuels will source 15–25% of global energy consumption. The biofuel industry will be the same size the oil industry is today. Whether you believe or disbelieve that, it’s what energy analysts are projecting.

TER: Many industry players are involved in biofuel research and development. What state-of-the-art technologies are changing the landscape in this space?

MM: First-generation transportation biofuels, such as corn-based ethanol, are mature technologies. Unlike energy sources for hydrogen or electric cars, no major infrastructure investments are required to accommodate them. Corn ethanol is about 1.3 times more efficient than fossil fuel and has little or no benefit in reducing carbon emissions. Brazilian sugar cane-derived ethanol is 8–10 times more energy efficient, and it is lower in carbon than the fossil fuel equivalent.

However, corn and sugar cane are also food crops, and that presents sustainability challenges. The next generation of biofuels is not produced from food crops; it is more environmentally sustainable. While second-generation biofuel production costs are not yet competitive with first-generation costs, renewable fuel standards are friendly to non-food biofuels. In the U.S., governmental mandates require that 10 years from now, $16 billion gallons (Bgal) of second-generation lignocellulosic biofuels must be produced. The mandates allow for the production of $15 Bgal of conventional biofuels, which includes corn-based ethanol. It’s going to take 10 years for the lignocellulosic biofuels’ volume to equilibrate with first-generation volumes.

TER: What are lignocellulosic biofuels?

MM: Wood or cellulose is the main component of lignocellulosic materials. I am a strong believer in lignocellulosic energy crops, particularly elephant grass, switch grass, or the generic name, miscanthus. Miscanthus is among the most efficient and most sustainable of the second-generation feedstocks.

TER: Who are some of the major players developing miscanthus?

MM: It’s very patchy. There are some plantations in Europe and the U.S. Developmentally, miscanthus is in the early stages. In Brazil, Embrapa, the agricultural research institute, is developing new strains of miscanthus to obtain optimum yields. New Energy Farms (private) is a key developer of miscanthus as a feedstock for second-generation biofuels in the U.S., Canada and the U.K. However, nobody is a significant player yet.

TER: What level of demand currently exists for second-generation biofuels?

MM: Supply is constrained, but there is a substantial demand. Europeans are converting existing coal-fired plants to burn biomass pellets. There just isn’t enough agricultural land available in Europe to produce a sufficient quantity. Brazil is a prime candidate for growing exactly the type of energy crop to produce biomass pellets from miscanthus, but substantial investment is needed to kick this off.

Demand in Europe for biomass pellets is about 10 million tons (Mt) today, and that figure is projected to climb as high as 50 Mt within the next 10 years. But producing 5 Mt requires a plantation of 200,000 hectares, whereas the lignocellulosic plantations today are still small in Brazil, in the range of 1,000 hectares. So it’s a question of scale. Some of the Brazilian timber companies are growing eucalyptus and other fast-growing wood products, and a Brazilian company called Suzano Papel e Celulose S.A. (SUZb5:BOVESPA) has the potential to produce 2 Mt biomass pellets from wood chips. But miscanthus has a key advantage in that it delivers two crops annually, whereas it takes four to five years to get maturity on timber-based products.

TER: What are the technological impediments to developing miscanthus?

MM: There are a couple of methods of converting lignocellulosic material into biofuel. One is a thermal cracking process. The other involves using enzymes to convert the cellulose into sugar and then fermenting the sugar into alcohol. Companies, including Dow Chemical Co. (DOW:NYSE), are investing in this route. Yet individual industries are all trying to develop their own proprietary methods. That’s the main factor that’s stalling it.

TER: Does miscanthus serve all three types of biofuel?

MM: That’s its key advantage. I’ve been having discussions with large investors, still very much at the idea stage, but that’s exactly the issue. If you’re considering a position in the second-generation biofuels business, miscanthus is a very good starting point. If you accept the hypothesis that the biofuels or bioenergy business is going to be as large as the oil business in about 40 years, then you want to control supply. The demand is already there. It’s a bit like the growth of the original oil industry in that the biofuels industry will be driven by supply considerations, certainly for the first 20–30 years.

TER: You mentioned earlier that allocating land for biofuel feedstocks presents a challenge. Where are the potential feedstock hot spots?

MM: There are suitable locations in South America, specifically in Brazil. Sub-Saharan Africa is ideally suited. Miscanthus grows best in a tropical zone within eight degrees north or south of the equator, but it doesn’t mean that there aren’t opportunities for North American production. Large plants in the U.S. and Canada are producing biomass pellets from wood fiber.

TER: In light of the fact that biofuels are in part encouraged by sustainability-focused government regulations, what is the carbon footprint of miscanthus?

MM: As miscanthus grows, it absorbs carbon dioxide from the atmosphere. When it’s burned, it gives out the same amount of carbon dioxide, so in theory it is carbon neutral. However, it is important to factor in what we call a “land use penalty.” If we convert existing land to plant corn or sugar cane for biofuels, we have to keep replanting it, thereby repeatedly creating carbon emissions. Miscanthus, on the other hand, only needs to be planted once. After it is cut, it grows again and again. And while it’s not strictly carbon neutral, the land use penalty for miscanthus is among the lowest of the second-generation feedstocks.

TER: Are there any major players getting involved in Brazilian feedstocks?

MM: There are some small players in biomass pellets, but that’s a side show. Brazil is the second-largest market in the world for bioethanol. The U.S. is the largest market. Brazil and the U.S. supply 75% of the world market for biofuels. In the Brazilian market, about 400 sugar mills produce ethanol. About 10 large players control 50% of the total capacity. About 150 smaller players own single mills.

TER: These are all local firms?

MM: They all started out as local firms, but multinational players are entering as Brazil’s ethanol industry consolidates. The only significant vertically integrated company, Raizen S.A., is a recent joint venture between Royal Dutch Shell and Cosan S.A. (CSAN3.SA:BOVESPA). Cosan was an ethanol producer that acquired Esso’s, or Exxon Mobil Corp.’s (XOM:NYSE), downstream assets in Brazil three years ago. Another big producer is ETH Bioenergia (private), which in its formation included a takeover of Brenco Holding S.A. by Odebrecht S.A., a Brazilian construction and engineering company. The larger players have multiple mills in states surrounding Sao Paolo. They typically enjoy efficient agricultural yields. Such producers build two capacities into their sugar mills that are key to its profitability: One is the ability to switch production from sugar to ethanol and vice versa, depending on market prices for sugar. The other capacity is co-generation. These plants generate electricity using biogas, or sugar cane waste, as fuel. The company sells that power to the grid in Brazil at a preferential price for renewable fuels-produced electricity.

Then there are about 150 sugar mills that are smaller in terms of size and production capacity. Traditionally, they were financed with soft loans from government banks in the early days of the Brazilian ethanol Pro-Alcohol program. They don’t typically have the capacity to switch from ethanol to sugar, and they don’t have co-generation. Because they’re smaller, their yields are typically lower. So a number of them are struggling and bigger players are buying them up.

On the distribution side, there is one big vertically integrated player: Raizen. It manages the Shell and the Esso retail sites throughout Brazil. It is the third player in the retail fuels market behind Petrobras (PBR:NYSE; PETR3:BOVESPA), or Petróleo Brasileiro, and Empresas Petróleo Ipiranga (state-owned). But it also produces biofuels. And because it is vertically integrated, Raizen can see the whole value chain and price accordingly. That allows it to be more competitive, because the gasoline sold at the pump in Brazil contains 25% ethanol. Fossil fuels are only refined by Petrobras in Brazil. The Shell and Esso brands buy fuel from Petrobras and blend in the ethanol before they sell the grade at the pump.

TER: Is consolidation the name of the game in Brazil?

MM: There are a lot of family businesses for sale. And the industry in Brazil is not currently expanding capacity. Brazil is inwardly focused at the moment, trying to improve efficiencies with consolidation. This business is very much defined by national boundaries.

Brazil used to export 30% of its ethanol production, after accounting for domestic consumption. For years, the Brazilian biofuel industry had been hammering at tariff barriers in the U.S. to develop the biofuel export business. But when the price of sugar went up a while ago, Brazilian ethanol producers switched into sugar production. Ironically, due to a poor harvest last year, Brazil had to import corn-based ethanol from the U.S. in order to make up for its domestic shortfall in biofuel.

TER: How do governmental policies affect the development of biofuels?

MM: The evolution of this business is being driven by regulatory incentives, such as the Blender’s Tax Credit in the U.S. and public subsidies for renewable fuels. But a mature industry will not need subsidies. There needs to be healthy international trade in biofuels, just as there is in oil. And if biofuels are going to generate 15–25% of global energy consumption, the industry needs to focus on developing miscanthus and other energy crops. Sustainability is a key to this business.

TER: What companies do you recommend for investors interested in second-generation biofuels?

MM: Dow Chemical is leading the pack with work on enzyme technology. It’s a good pick.

In the biodiesel business, there are some good export markets. Argentina is a key exporter of biodiesel to Europe. I’ve been working with a company called Incoming Inc. (ICNN:OTCBB), which is a U.S. company that is looking to build a transnational biodiesel business with a position in Brazil, exporting to the U.S. In the U.S., biodiesel has been subject to major ups and downs as government subsidies have been set and removed and then replaced. It makes sense to hedge regulatory risk by having a position in more than one export market.

The Brazilian biodiesel market is booming at the moment. That’s also driven by policy mandates. The current blending target for biodiesel is 5%. There is talk of that going up to 7%. Margins are profitable for efficient local Brazilian players in that market.

TER: Thank you for speaking with us today.

MM: My pleasure.

Mark McHugh is president and CEO of CenAm Energy Partners SA, an independent professional consultancy and investment advisory partnership focused on the oil and renewable energy industry in Latin America and Africa. He is based in Brazil and has experience in the international oil industry in marketing, sales, strategy consulting and general management. He spent 26 years with Royal Dutch Shell and reached the level of vice president of regional marketing based in the U.S. He is experienced in leading new business development and M&A initiatives and managing new business start-ups.

Economic Events on April 13, 2012

At 8:30 AM Eastern time, the Consumer Price Index report for March will be released.  The consensus is that CPI increased 0.3% last month, and there was a 0.2% increase in CPI when food and energy are removed.

At 9:55 AM Eastern time, Consumer Sentiment for the first half of April will be announced.  The consensus is that the index will be at 76.2, which would be the same as the level reported in the second half of last month.

At 1:00 PM Eastern time, Federal Reserve Chairman Ben Bernanke will make remarks to the Russell Sage Foundation and The Century Foundation.

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