Online Payday Loans
Cash Loans/Bad Credit Loans - One Application!
In the UK, the removal of regulatory and tax impediments revealed the tax efficiency of property derivatives over direct investments. In 2002, the Financial Services Authority (FSA) decided to allow life insurance companies to include real estate swaps and forward contracts as admissible assets in the computation of their solvency ratios. Further, the inland revenue legislation from September 2004 established a regime for taxation of property derivatives, thereby removing tax as a barrier to trading property derivatives. Key points were that no stamp duty is levied, be it land tax or reserve tax, on the issue or transfer of property derivatives. This gave rise to an immediate benefit over purchasing property, as stamp duty of up to 4% of the property value is saved.
UKregulators ruled that property derivatives are taxed under derivatives contracts legislation, which broadly taxes all profits and losses as income. There are some exceptions for property derivatives. The taxation of income and capital gains will depend on what type of entity enters the derivatives transaction. The law defines two categories of institutions:
Derivatives as a primary business. In such a case, the gains and losses are treated, and taxed, as income.
Derivatives not as the primary business of the respective company. In this case the capital element will be subject to capital gains and the income element will be charged by a corporation tax.
Capital losses arising on contracts can be carried back against capital gains on similar derivatives arising in the previous two accounting periods. In general, capital gains may also be offset against other existing capital losses. Property Index Certificates (PICs), some of the earliest property derivatives in the UK, are treated as loans for tax purposes. Often, the PIC is split for accounting purposes into a loan and an embedded derivative. The latter is taxed separately under the derivative contracts legislation. The new collective investment scheme “Sourcebook COLL” allows authorized retail and nonretail funds to hold property derivatives. Two key legislative changes have cleared the way for a commercial property derivatives
market in the UK. To summarize, companies can include property derivatives in their solvency calculations and capital losses can be offset against tax.
As different spread classes reflect different degrees of credit risk, it makes sense to break down the portfolio into spread class baskets. Alternatively, one could break down the portfolio into rating buckets. However, we believe that market indicators like spread levels and spread volatility are more timely indicators of credit risk than ratings. Abond with a high spread will have a lower implied rating than a bond with a low spread no matter what the official ratings awarded by rating agencies are. For many issuers implied rating and agency rating will be the same. But, as Breger et al. (2003) have shown for the US market, as much as half of the implied ratings can differ from agency ratings. They also find that implied ratings yield superior spread risk forecasts. The analysis of implied volatilities is also an important source of information for the corporate bond manager.
Campbell and Taksler (2002) show that implied equity volatilities are at least as successful as bond ratings when it comes to explaining the development of bond spreads. Therefore, implied volatility should be watched very closely. Not only is this a possible indicator for the credit analyst, it is also important for the risk allocator within his integrated risk management in a dynamically protected portfolio, especially in the portfolio construction phase. This example shows how important a close cooperation between the corporate analysts covering the single bonds, issuers and sectors and the risk manager allocating the risk components is.
In the context of an asymmetric risk management the embedded short put option of a corporate bond means that the portfolio manager faces additional negative gamma. Dynamic risk management for a corporate Bond portfolio is therefore a highly challenging task for the portfolio manager. In some respect, the risk profile is similar to a dynamic protection portfolio which has mainly equity exposure. Credit risk in the context of a dynamic protection strategy has certain similarities to equity risk although it is not a perfect substitute. Both asset classes have fat-tailed return distributions. A rise in equity volatility frequently goes hand in hand with falling stock prices as well as widening credit spreads. As dynamic portfolio protection grew in the equity market portfolio managers have had ample opportunities to gather experience on how these strategies perform in different market environments and especially where the potential danger zones are located.
Dynamic portfolio insurance tries to cut off the left-hand side of the return distribution, which is equivalent to avoiding bonds that experience a massive spread widening, in other words the credit blowups. Our study illustrates that the distribution of corporate bond spread changes is skewed to the right. Large spread widenings occur more often than would be implied by a normal distribution, and of course are not compensated by spread tightenings of the same magnitude. Therefore one of the major characteristics of the distribution of corporate bond is the dreaded fat tail on the left-hand side of the return distribution.
We focus on asymmetric risk-management strategies. These strategies appeal to a number of investors. They are utility-maximizing for investors whose risk aversion becomes infinitely high when their wealth goes below a minimum threshold, but declines with rising wealth.
According to Leland (1980) they exhibit a HARA (hyperbolic absolute risk aversion) utility function. In general, the strategies that try to protect portfolio value in falling markets come in different forms. There are two broad categories, namely static and dynamic strategies. Static strategies are characterized by an engineering process or a simple stop-loss mechanism. In the engineering process the initial portfolio structure is calculated as a mixture of assets and derivatives. This structure is bought and left untouched until it matures, except for cash flows that have to be invested or generated by proportional reduction of the structure.
Basically, there are two different types of absolute return management: asymmetric and symmetric strategies. Asymmetric strategies, which are often referred to as protection strategies, focus on avoiding losses in falling markets and participate in rising markets. The payout profile of these strategies is asymmetric or, to be more precise, it is convex, that is, a line connecting two points on its graph is never below the graph. In a falling market, loans portfolio value does not fall at all or at least falls at a slower rate than the market. In a rising market it participates in the opportunities either at a slower rate than the market, in line with the market or even at a higher rate when the portfolio can take higher risks than the market.
At inception the two legs of the trade have the same PV01 expressed in base currency while the two market values may differ. Yet, this difference is limited when pairs of bonds with similar durations are selected. The trade is equivalent to a view on the difference in Libor spread between a pair of bonds in two currencies. That view has to be strong enough to compensate for a hurdle rate made up by the sum of the following terms:
It seems that this approach is likely to represent a trading opportunity that can be exploited profitably. An unpublished study by Desclée and Rosten (2003) without and with transaction costs indicates positive information ratios for trading strategies where investors go long a particular issuer in the currency where its spread is highest and short it where its spread is lowest.
In an unfunded strategy, however, transaction costs and financing considerations must be taken into account. Furthermore, the performance of the strategy has varied substantially over time. In general, the number of trading opportunities has improved steadily since 2000 due to the broadened universe of truly global issuers, with multiple securities outstanding in various markets. High spread levels and spread volatility tend to raise the potential for implementing the strategy. Especially investors that are benchmarked relative to a global credit index may benefit from frequent trading opportunities.