Category Archives: automated systems

A credit discriminatory pricing rule

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The models presented in the previous chapters describe the price formation process in markets with different  structures. As we saw in the previous article, among the markets with trade pricing rules, those governed by an order-driven execution system can be organized either as a continuous or as a call auction, while markets with a quote-driven system can be either a bilateral dealer market or a continuous auction that works as a limit order book.Within this outline, the Glosten and Milgrom (1985) model describes a bilateral quote-driven market in which dealers’ competition guarantees semi-strong efficiency; Kyle’s (1985) model proxies an order-driven call auction market where a specialist, or a number of market-makers, sets the market-clearing price after observing his, or their, customers’ aggregated order flow. Finally, the Grossman and Stiglitz (1980) model proxies an order-driven market where all participants can submit their demand schedules simultaneously.1 Since each demand function is a fairly accurate representation of a large number of small limit orders (Brown and Zhang, 1997), this market can be interpreted as a limit order book. As the next section shows, this interpretation has the advantage of considering all market participants as potential liquidity suppliers, i.e. of embodying the order-driven feature of a limit order book (LOB); it fails, however, to incorporate either the discriminatory pricing rule that characterizes  an LOB or the agents’ strategic choices between limit orders and market orders. Section8.1 will introduce the reader to the discriminatory pricing rule and will sketch a basic model that embodies this rule; in this model, however, agents cannot choose the type of order to submit to the LOB, so section 8.2 presents models in which the choice between market and limit orders is endogenous.

Lagging indicators of credit quality

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While in a single name context ratings are often criticized for being lagging indicators of credit quality, classifying bonds by rating is one widely used method to reflect the behavior of different risk classes in credit markets.

Many market participants argue that spreads themselves and spread volatilities are more timely indicators of an issuer’s credit risk than ratings. They consequently prefer to split the universe in spread class buckets. The disadvantage of this method is that it leads to relatively unstable compositions of the individual buckets and is less convenient, because the major index providers do not calculate indices based on spread classes. Since the different rating buckets constitute the corporate bond market as a whole, there is clearly a correlation between overall market fluctuations and the spread changes of the different rating subportfolios.

Selection of your credit spread class

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The risk profile of a credit portfolio, in absolute terms as well as relative to a benchmark index, is largely determined by the weighting of different risk classes. Of course, the allocation of capital to riskier asset classes not only increases risk, but also offers ample opportunities for outperformance. From a top-down perspective there are various methods to split the corporate bond universe in different risk classes. Here the three most popular approaches are introduced: dividing the universe by rating classes, by degrees of subordination or by the degree of cyclicality of the different industries.

If the exuberant loans expectations would be fulfilled,

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A lot of this M&A frenzy was financed by debt. Consequently, the balance sheets of many companies deteriorated rapidly. Doubts, if the exuberant profit expectations would be fulfilled, and concerns about company leverage initiated the decline in equity markets. The bubble burst when investors realized that they were not compensated for the downside risks associated with investing in overvaluated tech companies. When a few of the TMT newcomers began to struggle, investors had to acknowledge that there was no free money to be made in TMT IPOs. Highly leveraged balance sheets caused serious problems for some of the brightest stars of the equity hype, and for some of the big companies. Actually much of the equity bubble was concentrated on large cap companies.

Managing Disbursement: Where the Accounts Payable System Earns Its Keep – part 2

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A good ACCOUNTS PAYABLE system can be used to forecast a payment schedule based on cash availability, anticipated income, and past policy practices. Then line up vendors in payment order, according to preference. Some will grumble, but the smart ones know they have little choice. If they don’t play along, it will take that much longer to be paid.

Vendors unhappy with your company’s payment policies won’t be vendors very long. Give preferred suppliers priority status and reward them with more prompt payment. They will likely return the favor with better service and more understanding if your company really gets into a bind.

How is the information categorized on Accounts Payable

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  • No matter how subledger files are arranged, the ACCOUNTS PAYABLE subledger summary must neatly organize, categorize, and summarize all accounts for posting to the ACCOUNTS PAYABLE line of the general ledger. The most common method in manual systems is a column-ruled sheet of paper that lists the following information for summarization:
  • Date. When the purchase was made or the debt incurred.
  • Vendor. To whom the money is owed.
  • Purchase description. What was purchased or how the debt was incurred.
  • Amount. How much money is owed.
  • Expense or assets accounts. The general ledger accounts to which the purchase or debt is posted.
  • Cash. Whether or not this was a cash transaction.
  • Accounts payable. Whether or not this was a credit transaction to be posted to this account.

In addition to serving as a transaction summary, this A/1′ subledger summary page also is a source document for posting to the general ledger, which is generally done monthly.

Most accounts payable systems link with inven¬tory control. That way, when a shipment of materials arrives and is logged in, the warehouse entry appears immediately on the ACCOUNTS PAYABLE subledger and general ledger from which payment to that particular vendor is to be made. Again, double entries—and the occasional resulting errors—are avoided.

guidelines your collection staff should follow when dealing with debtors – part 4

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At all times, maintain a professional, unemotional demeanor. If the collection efforts turn personal, your collector loses his or her professional leverage, destroys any spirit of cooperation, and may frighten the debtor away. Keep it professional, have a plan, and know the options.

And, if all else fails, sue the debtor for the amount owed. Good attorneys will counsel against spending more on legal fees than the company stands to collect. But even a small claims action will signal to the marketplace that the company means business.

However, winning a judgment is one thing. Collecting from a debtor who has no money… well, you’ve heard the story about getting blood from a stone? Learn from that.

Guidelines your collection staff should follow when dealing with debtors – part 1

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Reach an agreement with the debtor on the amount owed. One of the key things the collections person can do is help the debtor overcome his or her internal resistance. With the exception of a disputed amount, most debtors know they must pay and, more often than not, most want to pay. Getting them to verbally acknowledge their debt—recording what they said and when— may put the company ahead of another of that customer’s creditors. The more a company can work with a debtor, the more likely it is that the company will see its money.

A Guide to Tracking Receivables: The three indicators – part 2

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Receivables tracking reports provide a system to determine which customers need to be reminded to pay, a process called dunning. It’s tough to nag customers for payment, but it may be necessary. The first approach is generally by letters—polite at first, then threatening if polite doesn’t work. These efforts are usually automated. The letters may be supplemented by phone calls or visits. In the worst cases, plan on collections efforts and/or legal action. Then take a look at the reserve for bad debts.

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