XPayIndustry WIKIBack to home
XPAY KNOWLEDGE

Industry WIKI

Digital assets and currencies

Understand assets, networks and trading mechanics with sources you can check.

Trading basics

Actuarial science

Actuarial science is the discipline that applies mathematical and statistical methods to assess risk in insurance, pension, finance, investment, psychology, medicine, and other industries and professions.

Finance

AI build-out financing

To finance the build-out of AI data centres during the 2020s, an unprecedented amount of capital has been mobilised in the USA in particular amid a broad competition for global technological supremacy in artificial intelligence. By September 2026, analysis showed AI capital spending was larger and faster than during any previous technological boom. Early AI investment was funded primaril

Trading basics

Arbitrage

Arbitrage ( , UK also ) is the practice of taking advantage of a difference in prices in two or more markets – striking a combination of matching deals to capitalize on the difference, the profit being the difference between the market prices at which the unit is traded. Arbitrage has the effect of causing prices of the same or very similar assets in different markets to converge.

Finance

Beta (finance)

In finance, the beta (β or market beta or beta coefficient) is a statistic that measures the expected increase or decrease of an individual stock price in proportion to movements of the stock market as a whole. Beta can be used to indicate the contribution of an individual asset to the market risk of a portfolio when it is added in small quantity. It refers to an asset's non-diversifiabl

Finance

Country risk

Country risk refers to the risk of investing or lending in a country, arising from possible changes in the business environment that may adversely affect operating profits or the value of assets in the country. For example, financial factors such as currency controls, devaluation or regulatory changes, or stability factors such as mass riots, civil war and other potential events contribu

Finance

Model risk

In finance, model risk is the risk of loss resulting from using insufficiently accurate models to make decisions, originally and frequently in the context of valuing financial securities.

Trading basics

Moving average

In statistics, a moving average (rolling average or running average or moving mean or rolling mean) is a calculation to analyze data points by creating a series of averages of different selections of the full data set. Variations include: simple, cumulative, or weighted forms.

Finance

Portfolio optimization

Portfolio optimization is the process of selecting an optimal portfolio (asset distribution), out of a set of considered portfolios, according to some objective. The objective typically maximizes factors such as expected return, and minimizes costs like financial risk, resulting in a multi-objective optimization problem. Factors being considered may range from tangible (such as assets, l

Finance

Reputational damage

Reputational damage is the loss to financial capital, social capital and/or market share resulting from damage to an organization's reputation. This is often measured in lost revenue, increased operating, capital or regulatory costs, or destruction of shareholder value. Ethics violations, safety issues, security issues, a lack of sustainability, poor quality, and lack of or unethical inn

Finance

Stochastic volatility jump models

Stochastic Volatility Jump Models (SVJ models) are a class of mathematical models in quantitative finance that combine stochastic volatility dynamics with discontinuous jumps in asset prices. These models aim to more accurately reflect the empirical characteristics of financial markets, particularly those that deviate from the assumptions of classical models such as the Black–Scholes mod

Trading basics

Value at risk

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 (with a given probability), 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.