
ROME Insights
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Liquidity is King
belongs to Credit Risk , ERM , ROME Insights ![]() by Michael Carter on May 07, 2008 04:51 PM read 761 times |
Did you hear the story about the successful company with no liquidity? No, you did not.
Recent failures of finance and commodity trading companies have again brought into sharp focus the incredible importance of liquidity. Profitability is good, too, but many firms suffer losses and keep on chugging - for a while at least. Inability to meet immediate funding demands, though, has swift and dramatic consequences. You can be out of business NOW.
Although it is possible that many trading companies with significant problems may be able to eventually work things out, the simultaneous refusal of a large number of counterparties to trade with them on open credit can easily make collapse a fait accompli.
That is why the immediate response by many troubled firms to relieve market concerns is to raise large sums - or at least increase access to committed funds - and then crow about it as loudly as possible. Their hope is to reduce or prevent a "run on the bank" like the one described by Jeff Skilling to explain the speed of Enron's fall. Bear Stearns' approach was to immediately offer guarantees by prospective acquirer JPMorgan Chase to their trade counterparties; Enron's was to quickly get a $1.5 billon loan from Dynegy. Obviously, that response doesn't always work.
Even firms not as firmly in the crosshairs understand the need to reassure the market at the first hint of even flimsy rumors. Lehman loudly made it public knowledge that they not only had $30+ billion in cash and $60+ billion in available credit, but they were issuing billions in additional capital as well. Just to calm any remaining doubters.
This is because many trading companies operate in the over the counter (OTC) market at reduced cost by maintaining large open credit lines with their trading partners. They simply get to buy on credit in a manner not allowed on exchanges, which mark exposures to market every day - essentially "collateralizing" them anyway in a "pay-as-you-go" manner but reducing the magnitude of an unforeseen "liquidity shock" from the instant loss of open credit lines. Maintaining the confidence of one's OTC counterparties is obviously critical.
Illiquidity often stems from collateral demands from trade counterparties for mark-to-market (MTM) exposures for fixed price deals. This is to cover the difference between current market prices and the contracted amount the parties originally agreed to for deals which occur in future periods. When market prices move away from those fixed contract prices, one party is exposed to the future performance of the other. In fact, if a fixed price deal is struck while the market is open, one party will likely have some amount of MTM exposure within minutes.
Trading contracts often contain provisions permitting frequent - often daily - margining between counterparties if exposures exceed approved limits. They may also permit the reduction or elimination of those approved limits upon a "material adverse change" in the condition of the parties or even in the case of events causing "reasonable" grounds for insecurity of a party. This means that not only does a company have to worry about a.) suffering actual capital losses on completed transactions as well as b.) whether their current MTM position of ongoing deals will exceed approved open credit limits, but they also need to fret about c.) whether their existing limits will disappear on the whim of their counterparties who may be spooked by market rumors and bring current and future business to a halt until "adequate assurance" is provided.
It is ironic that the actions intended to mitigate concerns over a company's future performance can cause its immediate failure. "We are not sure that you will survive, so we are gonna kill you now."
It is even more ironic that the fixed price positions put on by a company could spell its doom even though they may be part of a profitable hedge or may become profitable over time if permitted to run their course. This is not baseball, though, where "it ain't over ‘til it's over". When facing a liquidity crunch, it is not uncommon for companies to be forced to close out or sell off even positive positions at a discount in exchange for quick cash or to stop the bleeding. In fact, a large part of hedge fund Amaranth's approximately $6 billion hit in 2006 (2/3 of the fund's value) was due to its being forced to immediately sell illiquid positions at fire sale prices and lock in losses. The urgent need to trade was accelerated by collateral calls and the damage was done in only a few days.
It can't be stated too loudly or too often - liquidity is the mother's milk of a trading operation and must be managed with that in mind. You can make a bad deal here or there and live to tell about it, but if you run out of cash or other collateral, you may be out of business even if the value of your trading book is positive. It is critical that those running such efforts understand the consequences of the contractual terms they agree to and the market venues they choose.
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Bringing Order to Chaos
belongs to Credit Risk , ERM , Market Risk , Operational Risk , ROME Insights ![]() by Michael Carter on Jan 08, 2008 04:46 PM read 502 times |
Risk Managers, rejoice, you are getting smarter and better looking with each passing day! Folks who help manage risk are enjoying unprecedented respect these days, much like “overnight sensations” in the music industry whose worth is finally discovered after spending most of their careers in dingy bars. (That analogy turned out even better than I thought it would.) I predict that 2008 will be the breakout year for those who provide enterprise risk management goods and services as entities race to implement greater controls and deal with decreased access to liquidity.
This epiphany has come about because the last 10 years or so have been a stunningly risky period for corporate stakeholders with one massive problem after another. The most recent, the meltdown in the mortgage industry and its subsequent effects, may have been the coup de grâce for any remaining risk-tolerant holdouts. The growing clamor for more effective risk controls has now turned into a deafening roar.
During the past decade alone, we have had an internet boom and subsequent bust; an energy bust and subsequent boom – with an “energy crisis” thrown in the middle for good measure; numerous geopolitical conflicts; prosecutions of corporations and their executives, both justified and overzealous; natural and unnatural disasters; deregulations and re-regulations; a credit market meltdown; and assorted other calamities. That, my friends, is risk. No wonder people are finally looking for help.
How would YOU like to be a corporate executive these days? Using the energy industry as an example, where would you turn for help with risk mitigation? The commodities market? Please. That is often the source of the problem. Improperly structured market positions which fail to consider associated credit and liquidity risks can doom a company quicker than remaining unhedged. A small producer who is otherwise profitably selling its products under fixed prices in a rising market could easily see margin calls deplete its liquidity, leaving none for operating needs. And as we all know, net income doesn’t pay the bills – cash flow pays the bills.
How about the credit market? As we have seen, it has contracted significantly due to the surprising collapse in the mortgage industry. While it is still possible to get funding, the terms and conditions now reflect recent events. Exacerbating the resulting liquidity shortage, more energy entities are transacting under contracts with risk-mitigating – but logistically challenging - margin provisions and face more collateral demands as described above.
Insurance products may or may not be cost effective, either. Although coverage continues to evolve to address the risks of structured and other transactions, insurance companies have had their share of challenges lately, too. For example, in addition to the billions in exposure for human-caused events like 9/11 and corporate malfeasance, insured losses for natural disasters such as earthquakes, hurricanes, and floods cost the industry a record $44 billion in 2004, nearly triple the previous year, and THAT record more than doubled to $94 billion in 2005, according to reinsurer Munich Re. To top it all off, Lindsey Lohan started driving – sort of.
International energy matters continue to produce significant uncertainty as well. In the last year alone, energy entities have been “strongly encouraged” to renegotiate their contracts or have had assets nationalized outright in Bolivia, Venezuela, and Russia, to name a few. Additionally, there continues to be concern over the security of the gas supply from Russia to Europe, which is also moving quickly to deregulate its gas and power markets. Think it is difficult to implement deregulation in the U.S.? Imagine trying to do it while considering the demands of numerous sovereign entities with different languages and national interests. How and when it will ultimately work is still to be decided.
For some, the prospect of increased regulation by government entities represents a considerable risk as well. For example, as executives of numerous oil majors in the U.S. found out, even if you earn a return in line with other industries, you may still be hauled before Congress and threatened with criminal sanctions and a tax on “windfall profits”. Additionally, hedge funds are being increasingly criticized by authorities for, among other things, failing to manage counterparty credit risks and for introducing systemic risk to energy markets. Look for them to begin to respond by enacting greater controls fairly soon.
All of these issues, as well as many others, have contributed to the growing recognition of the need for entities to navigate the corporate minefields and effectively manage enterprise risk. That will require investment in people, processes, and systems. In fact, even if there is a significant effort already in place, it must be demonstrably effective and bring confidence and comfort to auditors and others.
Whether the pressure is coming from regulatory entities who want to prevent abuse, investors and shareholders who want to know the risks they are assuming, employees who want to ensure that their companies are well run, or executives who are concerned with compliance demands, the value of a solid risk management effort has never been more appreciated.
So we salute you, Mr. and Ms. Risk Manager. 2008 is your year!
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ERM Assessments May Affect Credit Ratings
belongs to Credit Risk , ERM , ROME Insights ![]() by Michael Carter on Nov 13, 2007 04:05 PM read 1064 times |
The interest in Enterprise Risk Management (ERM) began to grow in recent years and continues to pick up speed. As reported by Marine Cole in a recent edition of Financial Week, Standard and Poor’s may soon include ERM assessments in its rating evaluations of non-financial companies, a practice already in place at Moody’s. In my opinion, this would be a welcome enhancement to their review of the trading risk management practices of energy companies with active trading efforts, which they described in a Commentary Report in April 2006. That move was itself an expanded use of S&P’s “PIM Approach”, which has been applied to financial institutions since 2004 and refers to assessments of the risk management policies, infrastructure, and methodologies (PIM) of subject entities. According to S&P Credit Analyst Terry Pratt, the PIM Approach, along with assessments of liquidity and capital adequacy, is used by S&P to evaluate an energy company’s trading risk position.
The reason I support a more holistic view of the risk management practices of energy firms is because, in over 20 years in the business, I have never seen – or even heard of – an entity which had completely nailed its risk management challenges. Not even the financial entities, which are typically considered to be sophisticated at risk mitigation. In fact, S&P Credit Analyst Prodyot Samata noted in 2005 that applying the PIM Approach to its review of the trading risk management efforts of numerous financial institutions found, surprisingly, “no concentration of best practices at any single institution”.
In my experience, even those entities which have taken significant steps to mitigate market risk do not typically address counterparty credit risk to the same degree. It is simply not well understood that even balanced positions – those which bring such comfort to trade floors and risk control groups - often introduces credit risk on one side of the position and liquidity risk on the other. Long after the traders have completed the transactions, these exposures must be managed every single day – sometimes for the years it may take them to roll off.
In addition to the sheer volume of the growing pool of transactions which must be managed, consider for a moment the stunning breadth and complexity of the resulting credit task, with its dizzying array of possible entities, products, contracts, venues, tenors, pricing arrangements, and other variables which must be considered.
The participants in the “bizarre bazaar” which is the international energy market are amazingly diverse. They have varying degrees of financial wherewithal ranging from the economic power of an entire nation to a trading operation with nothing more than a Cadillac and a car phone. Their actions can be regulated as tightly as a parolee’s or as loosely as Paris Hilton’s. Their motivations for transacting can range from blind greed to geopolitical interests to risk mitigation. They trade products on their own account or via wholly-owned subsidiaries, partially-owned joint ventures, or agents, with other entities which have done the same. They trade in venues including exchanges - such as the NYMEX, electronic trading platforms - such as the ICE, or “over the counter” (OTC) – such as the phone call, restaurant, or golf course.
The products themselves include hundreds of thousands of natural hydrocarbon compounds as well as the energy they can produce and ancillary services associated with their delivery.
They are traded in physical or theoretical form based on the commodities themselves or their related derivative instruments. The transactions can be for fixed or floating prices ranging in tenors from minutes to decades and volumes valued from a few dollars to tens of billions. The contracts which govern the entire business relationship as well as the individual transactions themselves can be standardized, proprietary, or undocumented (i.e. verbal).
It is easy to see that it takes significant resources including personnel with the requisite knowledge and experience, well-developed processes, and robust systems to effectively manage the exposures which can arise under relationships with such a complex web of possible transactions. Now compare that fact to the amount of resources which are typically allocated to the effort. Between the time deals are entered into the multimillion-dollar trading system and the time they are processed by the multimillion-dollar accounting system, the Credit Department often handles things under the direction of an exhausted Credit Manager armed with a few young analysts and some spreadsheets.
When credit risk is not properly managed, entities can be bankrupted within days – even despite a lack of market or other risks which may have been successfully mitigated. Any effort which acts to consider energy trading risks holistically is definitely another step in the right direction.
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Training or the lack of it
belongs to ROME Insights , Training ![]() by Mark Prasatik on Nov 02, 2007 03:00 PM read 651 times |
Training, whether classroom or online, is designed for one purpose. To change the knowledge, skills, or behaviors of the participants. We at ROME believe that timely access to training is critical to the success of any software implementation, as well as, the subsequent changes in business processes.
It would be great to hear of your past experience with training or the lack of it and how it impacted the success of the project.
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Complete the Trifecta- Employ ERM
belongs to ERM , Market Risk , Operational Risk , ROME Insights ![]() by Michael Carter on Jun 22, 2007 08:23 PM read 883 times |
Companies active in the energy marketplace should employ Enterprise Risk Management (ERM) to accurately account for and value the market, credit, and operational risks they face and help appropriately establish their entity’s true risk-adjusted value.
Consider the case of an investor deciding between two companies in which to invest. If they both had exactly the same assets, but one was located in an area prone to natural disaster, it would be wise to discount its value to accommodate that fact and deem the “safe” company the more attractive option. This is a simple example of a risk-adjusted valuation. Although such analyses have long been part of smart investor’s evaluation process, the move to identify and address – or at least disclose – risks of every imaginable type has never been greater.
In recent years, energy industry participants have begun to employ increasingly sophisticated processes to identify, measure, and if desired, mitigate market risk. Well before the significant price volatility which recently occurred in numerous energy markets, trader limits, Value At Risk (VAR) calculations, advanced hedging techniques and the like were common concepts even on the trade floors of most physical market participants who, historically, have suffered the consequences of volatile markets and often view boom and bust cycles to be as natural as the seasons.
To a lesser degree, but closing fast, has been the push to address counterparty credit risks – including those which come about as market risk-mitigating efforts are translated into credit risk. This makes great sense. If you addressed your long or short market position by putting on an offsetting trade with a nearly-bankrupt company, have you really hedged yourself? You could probably have avoided that dangerous scenario if you monitored your counterparties more effectively through automated scoring, potential future exposure (PFE) calculations, daily account monitoring, and other benefits typically offered by robust credit management systems. Additionally, they can provide a holistic report of the company’s trading activities versus the view from trading systems, which is often presented on a portfolio basis.
Although most entities have long been concerned with counterparty creditworthiness, they have not typically translated those concerns into the investments necessary to thoroughly address them. It is an absolute fact that billions of dollars in credit exposures are tracked on spreadsheets throughout the industry. However, the collapse of high-profile counterparties, increasing control requirements, and the recent availability of quality third-party software solutions make the sophisticated handling of counterparty credit risks quickly approach industry-standard status – if it cannot already be considered so. Again, even physical market participants who have typically been less impressed with the theoretically pure, more financially oriented, Wall Street-style risk management than with traditional relationship management are seeing the value of actively managing credit risks.
The assault on operational risk, the last bastion of relatively unacknowledged and unaddressed exposure has now begun. While there are several loosely similar definitions of operational risk, one useful view is that these are the risks of loss, according to the Basel Committee, “resulting from inadequate or failed internal processes, people and systems, or external events”. For example, your VAR measurement identified a significant exposure to volatility in the market, you identified and entered into a mitigating trade of 10,000 barrels of Brent crude with a counterparty whose weak creditworthiness was identified and supplemented with a letter of credit, but your operations personnel failed to notice that the trade confirm showed a 100,000 barrel volume and your tape recording system malfunctioned. The very act of implementing processes to address operational risk would likely identify these and other critical business functions and help ensure that they receive appropriate attention.
The company which puts in place an ERM system to actively manage its marketing, credit, and operational risks will not only be rewarded for having the foresight to do so, but will avoid being penalized for failing to employ what is increasingly becoming standard business practice.
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High Performance Batch Processing with Java Enterprise Edition
belongs to ROME Insights ![]() by Colin on Jun 19, 2007 04:13 PM read 3136 times |
The central problem is to determine how to partition the chunks of work to maximize the efficiency of threads and database interactions. Clearly, each thread must operate on an independent logical unit of work. Otherwise, concurrent threads might end up waiting on one another or incorrectly altering results related to other threads. Each thread must be able to complete its job independently from all other threads.
Subsequently, the units of work should be designed to minimize database interactions because these are very expensive. They involve asking the database to retrieve some data (which could require spinning a physical hard drive) and then moving that data over a network to the JEE server. Minimizing the frequency and volume of these interactions is the single most important factor in JEE batch processing performance. There are many ways to minimize database access and optimize the necessary database interactions.
Be Lazy (Avoid unnecessary work) Only get the required data
The easiest way to minimize database interactions is to carefully construct the batch algorithm to only get and operate upon the data it really needs. This may seem obvious but modern software often has layers such as Data Access Objects (DAOs) or perhaps an object model based on Hibernate that tend to return fully populated objects rather than just the few fields required. It’s often convenient to reuse an existing data layer that does these things, but only do so if the time required to retrieve the extra data is acceptable. Otherwise, create new DAOs or JDBC statements to get just the specific data required.
Only do the Work Required for each Run
Another way to avoid bringing back unnecessary data and doing pointless work is to create a configurable batch process. Batch processes often do several different but related operations and not all of them are always necessary. A little extra development work is required to provide input parameters that allow certain operations to be switched off for certain batch runs, but avoiding unnecessary work can provide worthwhile performance improvements.
Only work on data that has changed
In this same vein of avoiding unnecessary work, it is often possible to implement a feature that tracks what data has changed (and requires new batch operations) and what data has not changed (and can safely be ignored). Depending on the rate of change of the data, ignoring unchanged values can lead to a large performance improvement.
Use data warehousing techniques to compress data over time
The size of the dataset can further be reduced if by exploiting common data warehouse data modeling techniques such as the concept of slowly changing dimensions. Data warehouses are often modeled to contain dimension tables and fact tables. The dimension tables contain all the descriptive attributes upon which data is sliced. Fact tables contain the actual aggregated data. For example, there may be a fact table containing order totals with a foreign key to a dimension table that captures the name of the salesperson for the order allowing the creation of a report to slice order totals by salesperson.
Slowly changing dimensions and slowly changing facts are methods that can be used to compress the volume of this data if the data changes over time. The idea is to put date ranges on the dimensions and facts rather than repeating the same values for each date in the time period. For example, a salesperson’s name could change over time if she gets married. Without date range effectiveness on this dimension, it is necessary to capture the name as it was at each batch run to preserve historical data even though the data likely does not change often. This is repetitive and wasteful. If the dimension has a date range, then the batch process need only store a row for each different value.
The same can be done with facts if the model requires storing facts at different points in time. If the result of the computation happens to be the same value as it was the last time, the batch process could just store a date range with the answer rather than storing the same answer multiple times.
Optimize Database Interactions
Eliminating unnecessary work is the best way to limit database interactions, but clearly, some interactions must happen. Further strategies can be used to make sure those interactions are as efficient as possible.
Caching
One approach is to take advantage of caching technologies. Batch processes often require access to some set of master data that is reused throughout the process. This master data should be loaded from the database just once and then cached in memory within the application server context and reused. This can be done using singletons or static variables that hold the data, or caching tools like JBoss Cache, GigaSpaces, Tangosol Coherence, etc. These latter tools provide benefits such as replicating the cached values across multiple JVM instances but introduce added complexity to the application.
One caveat for caching is that it may solve a database interaction problem but create a memory constraint problem because the in-memory cache in the application server tier may grow too large. RAM has become much cheaper in recent years, but most JVMs are still limited to 2-4GB of heap space. Be careful that the cache will not exceed the memory space available and cause disk swapping on the application server.
Data Streaming
Another approach for optimizing database interactions is to favor a smaller number of denormalized queries that retrieve large volumes of data over a larger number of more granular queries that retrieve small volumes of data. Relational databases are very good at creating an execution plan for a few complex queries and then streaming back the results as quickly as possible. They perform less well when asked to execute lots of small queries that appear to be randomly organized.
For example, consider a batch process that needs to compute the shipping cost on a large set of orders. One could choose to define each chunk of work to be a single order. The dispatcher could ask the database for the master list of order IDs and send each ID to a worker thread for processing. That worker thread could then ask the database for the details of each order, do its work, and save the answer back to the database.
To the database, this approach will feel like it’s getting slammed by lots of concurrent users asking for different orders all at the same time. There will be high contention for resources such as database connections and access to the order table. It will sort of look like a denial of service attack.
On the other hand, one could choose to define the chunks as an arbitrary number of orders, perhaps 1000. The dispatcher could query the database for all required order columns rather than just the order ID. As each row is returned the dispatcher would send all the order data required to compute shipping costs to a worker. Each worker would NOT have to query the database to do its work because everything it needs is provided as input.
As each worker completes its work it would place the results on a persistence queue rather than immediately sending an individual insert or update to the database. Every time this queue reaches 1000 entries, the batch process would send a bulk insert/update statement to the database. The result is that the database is allowed to do a few, high volume things as fast as it is able, rather than swapping between numerous small tasks.
Optimize Physical Database Access
Databases often respond slowly when they receive multiple requests that contend for data located on the same physical media. Avoiding this contention will speed the batch process. It is often possible to specify how database tables are segregated on different physical disk drives and divide tables that are likely to receive large numbers of concurrent requests onto different physical drives.
Use Database Tricks
Relational databases offer many configuration options and interaction methods that can be used intelligently to optimize a batch process. Performance monitoring tools should be used to watch the behavior of the database as the batch process runs. This will allow the optimal configuration of settings such as how much memory to commit to the database’s shared cache and so on.
Transactions
A database uses transactions to group multiple changes into a single logical unit of work. These changes are then all committed and stored or all rolled back and thrown away together. The database must maintain a log of these changes to keep track of what things belong together. Large transactions result in a large transaction log. Large logs can negatively impact performance. There are a couple ways to avoid this problem in a batch process. One could choose to not use transactions at all. Most databases include an autocommit feature allowing all changes to be committed immediately. Alternatively, one could make sure that each thread independently commits its own relatively small transaction. In any case, it is not wise to have large, long-running transactions as part of a batch process.
Prepared Statements
Most databases support the idea of pre-compiled SQL statements called prepared statements. A prepared statement is a SQL statement with placeholders for parameters that will be supplied later on with actual data values. The statement can be compiled once and then reused even if the parameters change. This saves compilation time on the database platform and improves performance.
Batch processes usually involve multiple executions of the same SQL statements over and over with different parameter values. This is a perfect situation for prepared statements. Dynamic statements should always be avoided.
Application Server Clustering
One of the benefits of using the JEE platform for batch processing is that one can leverage its ability to cluster multiple application servers. If JMS is used as the transport mechanism to move messages from the dispatcher to the workers and the JMS implementation supports clustered, distributed queues (as many do), then the workers can reside on different physical machines. This provides a method to scale the performance of the batch process by adding application servers. A powerful cluster can be assembled using multiple, inexpensive commodity application servers and it can grow with the requirements of the batch process.
Conclusion
While the JEE platform was originally designed for building enterprise web applications it has grown into a versatile Java server platform that can successfully solve many problems. Batch processing is a common enterprise requirement. The JEE platform can provide an excellent batch processing platform as long as care is taken to optimize database interactions.
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Clarity for Calmer Markets
belongs to ROME Insights ![]() by Ann, ROME Marketing on Sep 12, 2006 04:56 AM read 1164 times |
The collapse of Enron produced a perfect storm when it became clear that many of the largest energy and financial services companies couldn’t accurately determine counterparty credit positions. We know that Enron collapsed in a chaos of complex contracts, thousands of counterparties and their collateral demands, and (lack of) cash. We’ve heard less about how lack of accurate data among its counterparties fueled a storm that rocked the company’s business partners and caused a few of them to capsize. Back then—only a few years ago, but truly another era—managing credit risk and financial liquidity with comprehensive, enterprise-wide technology systems was a fairly uncommon business practice.Today, the energy industry is more aware than ever of the volatility that can occur when a company lets down its guard and doesn’t manage risk, and the industry is embracing technology that can protect it. It is also evident that too much concentration with any one counterparty is dangerous; that keeping track of transactions and understanding complex contractual relationships is essential to survival; and that a laser focus on financial liquidity (cash) requirements (including potential requirements) is crucial. As a result, comprehensive risk management systems have emerged as not only a key component of managing risk but a part of standard operating procedure for energy companies worldwide.
PERSPECTIVE OF RISK IS PARAMOUNT
Having an accurate view of a company’s credit risk is crucial. Investing in a comprehensive risk management and liquidity software solution has been the answer for many companies.This “vision from within” allows a company visibility into consistent reporting.System functionality stretches enterprise-wide to provide companies with the timely data they need, which matters not only for stability, but for survival. Whether by counterparty or by contract, comprehensive software solutions help companies manage their operations and position them to minimize the risk of, and even to take advantage of, market swings—sudden developments that are key to profitability in today’s volatile environment. Energy enterprises of all sizes have been thrown into a virtual pressure cooker by ratings agencies, as reflected by Standard & Poor’s new liquidity survey. Now these agencies (as well as, compliance with Sarbanes-Oxley and Basel II) and others like them require companies to report exactly what they owe and who owes them, and how that might change with significant market events.
MORE MARKET VOLATILITY
In considering a market that is inherently volatile it simply makes sense to take steps to manage that volatility and its associated risks. That’s why more companies are turning to technology. Risk management solutions created specifically for the industry allow companies to track all pieces of a business, including crude oil, natural gas and financial derivatives activities, as well as manage liquidity for a clear view of a company’s inner financial workings. With the right technology, a market participant can delve into the business of energy contracts, giving management immediate awareness of credit and liquidity risks that could potentially leak millions of dollars from the company, as well as expose non-compliance with regulatory or legislative requirements. What’s more, companies operating with technology on their side can manage all key counterparties and contracts while sharing that information across other company systems, like ERP, logistics or trading. Everyone’s informed, and everyone’s on the same page in the same book. That’s key, especially in light of Sarbanes-Oxley. Chief executive officers are now personally on the hook for the accuracy of their companies’ financial reports.With its increased reporting requirements and financial controls for companies in virtually every industry, the legislation is forcing companies to rethink strategy. If a company can’t comply with quarterly financial reporting requirements weeks after the fact, how can it create the information needed to manage the company dynamically in a volatile market? Having weathered the storm, companies now know what to expect, how to avoid hazardous waters and how to minimize risk. Some of the most respected companies have decided to utilize technology to help them gain a better perspective on their risk scenarios. These leaders have taken the long view because they are taking advantage of risk management technology. As a result, they: gain significant efficiency in reporting of exposure and available credit; can easily resolve margin disputes; can meet S&P liquidity reporting requirements; are discovering unassigned overpayments; have the ability to call for collateral on contracts where they haven’t been able to provide timely and accurate contract-based calculations in the past; can minimize the capital consumed by credit risk; and can minimize the potential for financial liquidity crises from volatile market events. One might call it a lesson in perfect forecasting, with a view in which storm clouds never gather.
This article was previously published in Hart Energy Publishings.
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The Credit and Liquidity Dilemma
belongs to ROME Insights ![]() by Ann, ROME Marketing on Sep 10, 2006 09:35 PM read 1097 times |
Read Credit_Liquidity_Dilemma_White_Paper.pdf
Executive Summary
The natural gas and electric power sectors of the energy industry have been rocked in recent years by a series of high profile bankruptcies, insolvencies and credit rating downgrades, amounting to credit losses in the billions of dollars for energy and nonenergy companies alike. The poor sector-wide credit ratings have substantially increased the amount of financial liquidity required to provide credit support for commercial transactions. The need for liquidity, however, has occurred at a time when capital has been most difficult to obtain. Because of the large size of these industries (electricity, for example, is one of the largest industries in the nation) this crisis has impacted the economy far beyond the energy sector.
Companies and institutions in all industries, therefore, should be able to identify with and benefit from the lessons learned in these energy sectors. It is naïve to believe that the credit and liquidity problems in these energy sectors are unique to those sectors. As a result, while the specific problems addressed in The Credit and Liquidity Dilemma occurred primarily in the natural gas and electric power sectors of the energy industry, this white paper provides observations and recommendations that are applicable to other businesses or markets as well.