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The net present value (NPV) or net present worth (NPW) applies to a series of cash flows occurring at different times. The present value of a cash flow depends on the interval of time between now and the cash flow. It also depends on the annual effective discount rate. NPV accounts for the time value of money. It provides a method for evaluating and comparing capital projects or financial products with cash flows spread over time, as in loans, investments, payouts from insurance contracts plus many other applications.
In business, economics or investment, market liquidity is a market's feature whereby an individual or firm can quickly purchase or sell an asset without causing a drastic change in the asset's price. Liquidity involves the trade-off between the price at which an asset can be sold, and how quickly it can be sold. In a liquid market, the trade-off is mild: one can sell quickly without having to accept a significantly lower price. In a relatively illiquid market, an asset must be discounted in order to sell quickly. Money, or cash, is the most liquid asset because it can be exchanged for goods and services instantly at face value.
Value at risk (VaR) is a measure of the risk of loss of investment/Capital. It estimates how much a set of investments might lose, given normal market conditions, in a set time period such as a day. VaR is typically used by firms and regulators in the financial industry to gauge the amount of assets needed to cover possible losses.
Market risk is the risk of losses in positions arising from movements in market variables like prices and volatility. There is no unique classification as each classification may refer to different aspects of market risk. Nevertheless, the most commonly used types of market risk are:
Liquidity risk is a financial risk that for a certain period of time a given financial asset, security or commodity cannot be traded quickly enough in the market without impacting the market price.
Financial risk management is the practice of protecting economic value in a firm by managing exposure to financial risk - principally operational risk, credit risk and market risk, with more specific variants as listed aside. As for risk management more generally, financial risk management requires identifying the sources of risk, measuring these, and crafting plans to address them. See Finance § Risk management for an overview.
Prime brokerage is the generic term for a bundled package of services offered by investment banks, wealth management firms, and securities dealers to hedge funds which need the ability to borrow securities and cash in order to be able to invest on a netted basis and achieve an absolute return. The prime broker provides a centralized securities clearing facility for the hedge fund so the hedge fund's collateral requirements are netted across all deals handled by the prime broker. These two features are advantageous to their clients.
Interest rate risk is the risk that arises for bond owners from fluctuating interest rates. How much interest rate risk a bond has depends on how sensitive its price is to interest rate changes in the market. The sensitivity depends on two things, the bond's time to maturity, and the coupon rate of the bond.
Financial risk is any of various types of risk associated with financing, including financial transactions that include company loans in risk of default. Often it is understood to include only downside risk, meaning the potential for financial loss and uncertainty about its extent.
In the fields of actuarial science and financial economics there are a number of ways that risk can be defined; to clarify the concept theoreticians have described a number of properties that a risk measure might or might not have. A coherent risk measure is a function that satisfies properties of monotonicity, sub-additivity, homogeneity, and translational invariance.
The following outline is provided as an overview of and topical guide to finance:
The RiskMetrics variance model was first established in 1989, when Sir Dennis Weatherstone, the new chairman of J.P. Morgan, asked for a daily report measuring and explaining the risks of his firm. Nearly four years later in 1992, J.P. Morgan launched the RiskMetrics methodology to the marketplace, making the substantive research and analysis that satisfied Sir Dennis Weatherstone's request freely available to all market participants.
Probability of default (PD) is a financial term describing the likelihood of a default over a particular time horizon. It provides an estimate of the likelihood that a borrower will be unable to meet its debt obligations.
Asset and liability management is the practice of managing financial risks that arise due to mismatches between the assets and liabilities as part of an investment strategy in financial accounting.
In financial economics, a liquidity crisis is an acute shortage of liquidity. Liquidity may refer to market liquidity, funding liquidity, or accounting liquidity. Additionally, some economists define a market to be liquid if it can absorb "liquidity trades" without large changes in price. This shortage of liquidity could reflect a fall in asset prices below their long run fundamental price, deterioration in external financing conditions, reduction in the number of market participants, or simply difficulty in trading assets.
Basel III is the third Basel Accord, a framework that sets international standards for bank capital adequacy, stress testing, and liquidity requirements. Augmenting and superseding parts of the Basel II standards, it was developed in response to the deficiencies in financial regulation revealed by the financial crisis of 2007–08. It is intended to strengthen bank capital requirements by increasing minimum capital requirements, holdings of high quality liquid assets, and decreasing bank leverage.
Time at Risk (TaR) is a time-based risk measure designed for corporate finance practice.
The Margin-at-Risk (MaR) is a quantity used to manage short-term liquidity risks due to variation of margin requirements, i.e. it is a financial risk occurring when trading commodities. It is similar to the Value-at-Risk (VaR), but instead of simulating EBIT it returns a quantile of the (expected) cash flow distribution.
Alpha profiling is an application of machine learning to optimize the execution of large orders in financial markets by means of algorithmic trading. The purpose is to select an execution schedule that minimizes the expected implementation shortfall, or more generally, ensures compliance with a best execution mandate. Alpha profiling models learn statistically-significant patterns in the execution of orders from a particular trading strategy or portfolio manager and leverages these patterns to associate an optimal execution schedule to new orders. In this sense, it is an application of statistical arbitrage to best execution. For example, a portfolio manager specialized in value investing may have a behavioral bias to place orders to buy while an asset is still declining in value. In this case, a slow or back-loaded execution schedule would provide better execution results than an urgent one. But this same portfolio manager will occasionally place an order after the asset price has already begun to rise in which case it should best be handled with urgency; this example illustrates the fact that Alpha Profiling must combine public information such as market data with private information including as the identity of the portfolio manager and the size and origin of the order, to identify the optimal execution schedule.
There are many different ways to define financial stability. The absence of system-wide episodes in which a crisis occurs is central to financial stability, according to the majority of financial institutes. It also involves financial systems' stress-resilience. It is not created to prevent crisis or stop bad financial decisions. It is there to hold the economy together and keep the system running smoothly while such events are happening.
References
- ↑ Cont, Rama; Kotlicki, Artur; Valderrama, Laura (2020). "Liquidity at Risk: Joint Stress Testing of Solvency and Liquidity". Journal of Banking and Finance. 118. doi: 10.1016/j.jbankfin.2020.105871 . hdl: 11250/2652653 .
- ↑ Conzen, Sander (6 September 2009). Liquidity at Risk (LaR) und LiquidityValue at Risk (LVaR): Zwei neue Ansätze für das Liquiditätsmanagement (in German) (Frankfurt School of Finance & Management ed.). Hamburg, Germany: Diplomica. ISBN 978-3-8366-3500-4 . Retrieved 12 January 2016.