What is Fund Size?

Day-Count Convention

The Day-Count Convention is a standardized method used in financial markets to calculate interest. It defines how days should be counted when computing interest, with different conventions applicable to various financial instruments and markets. Common day-count conventions include Actual/Actual, Actual/360, Actual/365, 30/360, and 30/365, among others. For instance, the Actual/Actual convention calculates interest based on the actual number of days and the actual number of days in the year, while the 30/360 convention assumes each month has 30 days and each year has 360 days. The choice of day-count convention affects the interest calculation for bonds, loans, and other financial instruments, making it crucial to specify the convention in financial contracts.

Crowding Out Effect

The Crowding Out Effect refers to an economic phenomenon where increased government spending or borrowing leads to a reduction in private sector investment. When the government raises funds by issuing bonds or increasing taxes, it often results in higher market interest rates, thereby increasing the cost of borrowing for businesses and individuals. In such a scenario, private companies may reduce their investments because borrowing becomes more expensive. Additionally, substantial government spending can absorb available resources and funds in the market, leaving fewer resources and funds for the private sector, further inhibiting its investment activities. The crowding out effect is commonly observed during periods of expansionary fiscal policy, especially when the economy is near or at full employment. Understanding the crowding out effect helps policymakers balance government spending and economic growth.

Pooled Funds

Pooled funds are funds in a portfolio from many individual investors that are aggregated for the purposes of investment. Mutual funds, hedge funds, exchange traded funds, pension funds, and unit investment trusts are all examples of professionally managed pooled funds. Investors in pooled funds benefit from economies of scale, which allow for lower trading costs per dollar of investment, and diversification.

Giffen Good

A Giffen good is a low income, non-luxury product that defies standard economic and consumer demand theory. Demand for Giffen goods rises when the price rises and falls when the price falls. In econometrics, this results in an upward-sloping demand curve, contrary to the fundamental laws of demand which create a downward sloping demand curve. The term "Giffen goods" was coined in the late 1800s, named after noted Scottish economist, statistician, and journalist Sir Robert Giffen. The concept of Giffen goods focuses on a low income, non-luxury products that have very few close substitutes. Giffen goods can be compared to Veblen goods which similarly defy standard economic and consumer demand theory but focus on luxury goods.Examples of Giffen goods can include bread, rice, and wheat. These goods are commonly essentials with few near-dimensional substitutes at the same price levels.

Base Effect

The Base Effect refers to the significant impact on year-over-year data comparisons due to changes in the base period's value. This effect is common in economic data analysis, especially in indicators like inflation rates and GDP growth rates. When the base period value is high, even a substantial increase in the current period's value may result in a seemingly small year-over-year growth rate; conversely, when the base period value is low, even a modest increase in the current period's value may appear as a large year-over-year growth rate. For instance, if the inflation rate was unusually low in a particular month last year, this year's inflation rate for the same month might show a high year-over-year increase even with a slight rise. This phenomenon must be considered when analyzing economic data to avoid misleading conclusions.

Gini Index

The Gini index, or Gini co-efficient, measures income distribution across a population. Developed by Italian statistician Corrado Gini in 1912, it often serves as a gauge of economic inequality, measuring income distribution or, less commonly, wealth distribution among a population.The co-efficient ranges from 0 (or 0%) to 1 (or 100%), with 0 representing perfect equality and 1 representing perfect inequality. Values greater than 1 are theoretically possible due to negative income or wealth.