Skip to content

EnvisionRisk/EnvisionRiskRaaS

Repository files navigation

EnvisionRiskRaaS

Delve into the world of EnvisionRisk’s R package, your portal to our sophisticated Market Risk-as-a-Service (RaaS). This comprehensive tool allows you to tap into our cutting-edge risk management services, retrieve relevant data, perform complex calculations, and generate actionable insights, all without leaving your R programming environment. Embrace this smarter, efficient approach to handling market risk.

Are you navigating the volatile waters of financial uncertainties, seeking to make strategic decisions? Allow EnvisionRisk’s Cloud Service to be your compass, providing a precise mechanism for quantifying market risks. Replace guesswork with certainty; our platform furnishes you with standardized metrics designed to enhance cost-efficiency and fortify your financial bulwark.

Our REST API, a seamless blend of security and user-friendliness, stands as your reliable tool for everyday risk quantification. Transform data into actionable steps and unravel the potential concealed within the labyrinth of financial complexities.

With an expansive coverage spanning more than 13,000 exchange-traded and over-the-counter instruments—and continuously growing—EnvisionRisk is primed to adapt to your ever-evolving needs.

Join the EnvisionRisk community today. Convert your market insights into solid foresights, and consistently maintain a competitive edge in the ever-fluctuating financial market. Stay not just in the game, but ahead of it.

Authentication

EnvisionRisk employs robust authentication and authorization processes to safeguard systems and information. EnvisionRisk’s Market Risk-as-a-Service API operates on a token-based authentication system. To use the service you need to be a registered user. If you don’t already have credentials, you can sign up for a free trial account here:

.

Installation

You can install the development version of EnvisionRiskRaaS like so:

# Install EnvisionRiskRaaS from Github
require(devtools)
devtools::install_github("EnvisionRisk/EnvisionRiskRaaS")

Example

Although the following example may appear simple, it’s designed to illustrate how our service functions by requesting the simulated profit/loss (P/L) distribution for a single instrument — Apple (AAPL.US) as of 2023-06-28. Remember, this is just a starting point; our service also allows you to request simulated P/L distribution for your custom portfolios. Through this, you gain invaluable insights into potential future outcomes, enabling you to make informed investment decisions.

The Profit and Loss (P/L) distribution is a crucial component in the world of market risk management as it provides a quantitative way of understanding potential financial outcomes. Here’s why it plays an essential role:

  • Risk Assessment: The P/L distribution represents the range of possible gains and losses that a portfolio might experience. It allows risk managers to visualize and quantify potential risks. For example, the tails of the distribution give insight into extreme events and potential for significant losses, enabling a comprehensive risk assessment.

  • Risk Measures Calculation: Key risk measures, like Value at Risk (VaR) and Expected Shortfall (ES), are derived from the P/L distribution. VaR estimates the potential loss a portfolio could face over a given period with a certain level of confidence, while ES provides the expected loss given that a loss exceeds the VaR threshold. These metrics help risk managers understand the risk landscape better and make informed decisions.

  • Portfolio Optimization: By understanding the P/L distribution, managers can optimize the portfolio for desired outcomes. It allows them to adjust the portfolio composition to control the risk, striking a balance between risk and return.

  • Regulatory Compliance: Regulators often require financial institutions to maintain capital reserves based on potential losses, which are derived from P/L distributions. Hence, understanding the P/L distribution is crucial to meet these regulatory requirements.

  • Stress Testing: Stress testing involves applying extreme but plausible hypothetical scenarios to the P/L distribution to assess the portfolio’s resilience. This helps managers prepare for unexpected market events and ensure that the portfolio can withstand adverse conditions.

Therefore, P/L distribution serves as a key pillar of market risk management, providing insights into potential risks, informing decision-making, enabling portfolio optimization, and ensuring regulatory compliance.

library(ggplot2)
library(EnvisionRiskRaaS)

#Request the delta vector (for Apple) from the risk server
use_date   <- Sys.Date()
use_symbol <- "AAPL.US"

# The term '_raw' within the function name is indicative of a key feature: 
# the simulated price changes are denominated in the same currency as 
# the stock. This implies that the analysis maintains the original currency 
# perspective of the stock, allowing for more accurate and relevant 
# insights. It enhances ease of comprehension and direct applicability, 
# bringing us closer to the context of the actual trading environment.
api_response <- EnvisionRiskRaaS::envrsk_instrument_delta_vector_raw(
  date   = use_date, 
  symbol = use_symbol)

# Leverage our sophisticated API to conduct an Expected-Shortfall computation, 
# specified at a 97.5% confidence level across a single-day span, utilizing a 
# point-in-time volatility scenario.
api_response_es <- EnvisionRiskRaaS::envrsk_instrument_expected_shortfall_raw(
  date   = use_date, 
  symbol = use_symbol,
  signif_level = 0.975,
  volatility_id = "point_in_time")
expected_shortfall_estimate <- api_response_es[["Output"]]$expected_shortfall

# Leverage the EnvisionRiskRaaS::envrsk_instrument_delta_vector function with 
# base_cur set to "DKK" to incorporate the risk associated with  USD/DKK 
# currency exchange fluctuations. This allows you to evaluate and strategize 
# around the additional layer of market risk presented by currency movements, 
# thereby providing a more comprehensive understanding of the potential impacts 
# on your investments.
# api_response <- EnvisionRiskRaaS::envrsk_instrument_delta_vector(
#   date     = use_date, 
#   symbol   = use_symbol,
#   base_cur = "DKK")

# Plot the P/L distribution (code hidden)

# Check out the comprehensive guide below for step-by-step instructions on how to 
# generate Profit/Loss (P/L) distribution for your bespoke portfolio. This 
# detailed resource is designed to assist you in understanding the financial 
# impact of potential market changes on your portfolio.
#?EnvisionRiskRaaS::envrsk_portfolio_delta_vector

# Logout from the risk server
#EnvisionRiskRaaS::envrsk_auth_log_out()

API documentation

You can locate our extensive API documentation here. This comprehensive guide is designed to walk you through our APIs’ functionalities, providing clear instructions on how to integrate and use them effectively.

For each API, you’ll find detailed descriptions, parameter information, example requests, and response formats to help you understand the API’s purpose and functionality. Whether you’re interested in user authentication, data retrieval, or performing specific actions, our documentation has you covered.

In addition, you’ll find a section dedicated to ‘Common Use Cases’ where we illustrate how our APIs can be combined and utilized in various scenarios. This can be an invaluable resource for those seeking to maximize the potential of our services.

Please note that our API documentation is constantly updated with new features and improvements to ensure you have the latest information at your fingertips.

Explore our API documentation today to get started with your integrations and to make the most out of our services!

About

No description, website, or topics provided.

Resources

License

Unknown, MIT licenses found

Licenses found

Unknown
LICENSE
MIT
LICENSE.md

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages