What is Reverse Repurchase Agreement?

4367 reads · Last updated: December 5, 2024

A reverse repurchase agreement (RRP), or reverse repo, is the sale of securities with the agreement to repurchase them at a higher price at a specific future date. A reverse repo refers to the seller side of a repurchase agreement (RP), or repo.These transactions, which often occur between two banks, are essentially collateralized loans. The difference between the original purchase price and the buyback price, along with the timing of the transaction (often overnight), equates to interest paid by the seller to the buyer. The reverse repo is the final step in the repurchase agreement, closing the contract.

Definition

A Reverse Repurchase Agreement (RRP) or reverse repo refers to the sale of securities with an agreement to repurchase them at a higher price on a specific future date. The reverse repo is the seller in a repurchase agreement (RP) or repo. These transactions typically occur between two banks and are essentially secured loans.

Origin

The reverse repurchase agreement originated from the need for short-term liquidity management in financial markets. The earliest repo transactions date back to the early 20th century, but reverse repos became widely used as a regular financial tool in the late 20th century, especially in central bank monetary policy operations.

Categories and Features

Reverse repurchase agreements can be categorized by term into overnight reverse repos and term reverse repos. Overnight reverse repos are typically completed within a day, while term reverse repos can last from several days to weeks. The main features of reverse repos are their role as a low-risk short-term investment tool, providing liquidity and interest income.

Case Studies

A typical case is the Federal Reserve using reverse repurchase agreements to manage liquidity in the banking system. Through reverse repos, the Fed can absorb excess cash from the market, thereby controlling interest rates. Another case is the People's Bank of China using reverse repos in monetary policy operations to regulate market liquidity and ensure stability in the interbank market.

Common Issues

Investors using reverse repos may encounter issues such as sensitivity to interest rate changes and the risk of insufficient market liquidity. A common misconception is that reverse repos are risk-free, whereas changes in market conditions can affect their yield.

Suggested for You

Refresh
buzzwords icon
Registered Representative
A registered representative (RR) is a person who works for a client-facing financial firm such as a brokerage company and serves as a representative for clients who are trading investment products and securities. Registered representatives may be employed as brokers, financial advisors, or portfolio managers.Registered representatives must pass licensing tests and are regulated by the Financial Industry Regulatory Authority (FINRA) and the Securities and Exchange Commission (SEC). RRs must furthermore adhere to the suitability standard. An investment must meet the suitability requirements outlined in FINRA Rule 2111 prior to being recommended by a firm to an investor. The following question must be answered affirmatively: "Is this investment appropriate for my client?"

Registered Representative

A registered representative (RR) is a person who works for a client-facing financial firm such as a brokerage company and serves as a representative for clients who are trading investment products and securities. Registered representatives may be employed as brokers, financial advisors, or portfolio managers.Registered representatives must pass licensing tests and are regulated by the Financial Industry Regulatory Authority (FINRA) and the Securities and Exchange Commission (SEC). RRs must furthermore adhere to the suitability standard. An investment must meet the suitability requirements outlined in FINRA Rule 2111 prior to being recommended by a firm to an investor. The following question must be answered affirmatively: "Is this investment appropriate for my client?"

buzzwords icon
Confidence Interval
A confidence interval, in statistics, refers to the probability that a population parameter will fall between a set of values for a certain proportion of times. Analysts often use confidence intervals that contain either 95% or 99% of expected observations. Thus, if a point estimate is generated from a statistical model of 10.00 with a 95% confidence interval of 9.50 - 10.50, it can be inferred that there is a 95% probability that the true value falls within that range.Statisticians and other analysts use confidence intervals to understand the statistical significance of their estimations, inferences, or predictions. If a confidence interval contains the value of zero (or some other null hypothesis), then one cannot satisfactorily claim that a result from data generated by testing or experimentation is to be attributable to a specific cause rather than chance.

Confidence Interval

A confidence interval, in statistics, refers to the probability that a population parameter will fall between a set of values for a certain proportion of times. Analysts often use confidence intervals that contain either 95% or 99% of expected observations. Thus, if a point estimate is generated from a statistical model of 10.00 with a 95% confidence interval of 9.50 - 10.50, it can be inferred that there is a 95% probability that the true value falls within that range.Statisticians and other analysts use confidence intervals to understand the statistical significance of their estimations, inferences, or predictions. If a confidence interval contains the value of zero (or some other null hypothesis), then one cannot satisfactorily claim that a result from data generated by testing or experimentation is to be attributable to a specific cause rather than chance.