Q:  What is the philosophy of your fund and how it differs from your peers?

A: We see three major differentiators in the way we manage the Fund. We don't believe in forecasting interest rates; we have a team approach to managing the portfolio; and we view research and technology as a critical component of our competitive edge, not just as a back-office function.

Our philosophy is grounded in the belief that return is a function of risk. Therefore, we identify major security and portfolio risks and hedge against unintended exposures on a daily basis. We also don't look at the portfolio by security type only. Instead we slice and dice the pieces of risks within each security and aggregate them by risk type. Our approach requires a significant amount of research and technology and we use quantitative models that enable us to look at statistical relationships and correlations between different market sectors.

Another differentiator is that we believe it is better for investors to have a team of experts that specialize in different areas of the markets instead of one manager. Our team, which has been in place at OppenheimerFunds since April 2002, consists of five investment experts. In addition to these five, we have another eight analysts and traders working on the fund. We have found that our “swat-team” approach eliminates bias as traditional managers (what I like to call the “Jack-of-All-Trades Manager”) tend to rely on their strong subjects and overlook the others with which they are not as familiar.

The biggest differentiator is that our decisions are not based on interest rate forecasts. Traditionally, fixed income managers are expected to know where interest rates are headed at all times and to construct their portfolios accordingly. Forecasting with consistent accuracy is nearly impossible and we think it is a loser’s game.

Although we don’t forecast interest rates, we do position our portfolio to benefit from their direction through the use of quantitative tools we have built that help us understand what the implicit market’s rate forecast is over longer horizons.

Q:  How do you translate this philosophy into an investment strategy?

A: Our neutral point is the index – we don’t spend much time thinking about our absolute return, but always think relative to the Lehman Aggregate Bond Index or the Citigroup ''BIG'' Index. When advisers invest with us, we assume they want allocation to the U.S. Bond market, and our goal is to outperform the index in this area.

Starting with the benchmark, there are three major ways to add value – sector selection, security selection, and active management of duration. We first review the different sectors to determine whether to over- or under-weight them. Then we focus on security selection and decide on, for example, buying the cheapest mortgage or avoiding a potentially risky corporate. Also, we often raise or lower duration relative to the benchmark to take an active view on interest rates.

Another important point to make is that we do not pursue yield as an objective. We are a total return fund, meaning that we look for the best return possible through any combination of yield and price appreciation. Yield is closely associated with risk and if you are always optimizing to the highest yield, you are, on average, creating a high risk portfolio.

When considering the right amount of risk to take, we think in terms of tracking error versus the benchmark. If we can outperform our index by about 100 – 150 basis points a year, that translates into consistently good competitive rankings relative to our peer group. We are not aiming for a top ranking over the short term because that usually requires too much risk. But we seek to achieve above-average rankings consistently over a long period of time. Above-average rankings over a sustained period eventually drives the fund to the first quartile over long periods.

Q:  From a longer-term perspective, what is the strategy leading to out-performance on a continuous basis?

A: A cornerstone of our portfolio is the mortgage sector. We run a relatively high percentage of mortgages – 35% to 60% depending on the environment – because there is structural alpha in the mortgage market. For example, homeowners in this country have the expectation that they have the right to prepay their mortgages. Because there are so many homeowners demanding that right, they have to pay us an extra premium each year for that option. That always gives mortgages extra yield compared to Treasuries. Historically, mortgages have outperformed Treasuries consistently. During the past 21 years, mortgages underperformed Treasuries with the same duration in only 2 years. In addition, with mortgages you don't have to worry about credit risk. They are AAA rated and are as liquid as Treasuries.

The key, however, in our mortgage strategy is getting duration right. Mortgage duration is very volatile as interest rates move because of the prepayment risk. We have built a propriety model that allows us to monitor this prepayment risk, hedge it out, and remove it as unintended.

Q:  Could you explain your research process in terms of the buy and sell discipline?

A: One important part of the research process is in the corporate area. Investment grade bonds, which typically represent 25% to 30% of the portfolio, require a lot of research on individual names, similar to the process of equity portfolio managers. Our analysts go through the companies' balance sheets and income statements and talk to rating agencies and company management.

Typically, investors are not worried about investment grade companies defaulting and therefore the effort to research them may seem useless. While it is true that there aren't many defaults in the investment-grade world, our research focuses on the changes in the credit quality of companies, which is a much more important determination of value for normal environments.

An example of this would be with Chesapeake Energy, a company that was rated investment grade when we owned it. Our research at that time suggested that the company's credit quality was deteriorating, so we decided to sell the bonds. The bond didn't look like it would default, but the deterioration in credit quality caused the bonds to drop by about 5 points. This price volatility is a good example of why our research is so important.

Another key aspect of our research process relates to managing duration. We know that the market's forecast, based on what’s “priced-in” to the yield curve, is not a good predictor of rates. We are therefore especially interested in situations when the market is making an obviously extreme forecast. Because we know that the probability is high that this extreme forecast will not be accurate, we often lean against such extremes. We do this by shortening or lengthening the portfolio’s duration.

Please note, these trades do not happen frequently, maybe only a few times a year. The portfolio is neutral in duration, relative to our benchmark, until an opportunity presents itself. Then we position the duration accordingly and after it is over, we go back to neutral.