In law, fraud is deliberate deception to secure unfair or unlawful gain, or to deprive a victim of a legal right. Fraud itself can be a civil wrong (i.e., a fraud victim may sue the fraud perpetrator to avoid the fraud or recover monetary compensation), a criminal wrong (i.e., a fraud perpetrator may be prosecuted and imprisoned by governmental authorities) or it may cause no loss of money, property or legal right but still be an element of another civil or criminal wrong. The purpose of fraud may be monetary gain or other benefits, such as obtaining a passport or travel document, driver's license or qualifying for a mortgage by way of false statements.
A hoax is a distinct concept that involves deliberate deception without the intention of gain or of materially damaging or depriving a victim.
As a civil wrong
In common law jurisdictions, as a civil wrong, fraud is a tort. While the precise definitions and requirements of proof vary among jurisdictions, the requisite elements of fraud as a tort generally are the intentional misrepresentation or concealment of an important fact upon which the victim is meant to rely, and in fact does rely, to the harm of the victim. Proving fraud in a court of law is often said to be difficult. That difficulty is found, for instance, in that each and every one of the elements of fraud must be proven, that the elements include proving the states of mind of the perpetrator and the victim, and that some jurisdictions require the victim to prove fraud by clear and convincing evidence.
The remedies for fraud may include rescission (i.e., reversal) of a fraudulently obtained agreement or transaction, the recovery of a monetary award to compensate for the harm caused, punitive damages to punish or deter the misconduct, and possibly others.
In cases of a fraudulently induced contract, fraud may serve as a defence in a civil action for breach of contract or specific performance of contract.
Fraud may serve as a basis for a court to invoke its equitable jurisdiction.
As a criminal offence
In common law jurisdictions, as a criminal offence, fraud takes many different forms, some general (e.g., theft by false pretense) and some specific to particular categories of victims or misconduct (e.g., bank fraud, insurance fraud, forgery). The elements of fraud as a crime similarly vary. The requisite elements of perhaps most general form of criminal fraud, theft by false pretense, are the intentional deception of a victim by false representation or pretense with the intent of persuading the victim to part with property and with the victim parting with property in reliance on the representation or pretense and with the perpetrator intending to keep the property from the victim.
The typical organization loses five percent of its annual revenue to fraud, with a median loss of $160,000. Frauds committed by owners and executives were more than nine times as costly as employee fraud. The industries most commonly affected are banking, manufacturing, and government
Types of fraudulent acts
Fraud can be committed through many media, including mail, wire, phone, and the Internet (computer crime and Internet fraud). International dimensions of the web and ease with which users can hide their location, the difficulty of checking identity and legitimacy online, and the simplicity with which hackers can divert browsers to dishonest sites and steal credit card details have all contributed to the very rapid growth of Internet fraud. In some countries, tax fraud is also prosecuted under false billing or tax forgery. There have also been fraudulent "discoveries", e.g., in science, to gain prestige rather than immediate monetary gain.
Beyond laws that aim at prevention of fraud, there are also governmental and non-governmental organizations that aim to fight fraud. Between 1911 and 1933, 47 states adopted the so-called Blue Sky Laws status.These laws were enacted and enforced at the state level and regulated the offering and sale of securities to protect the public from fraud. Though the specific provisions of these laws varied among states, they all required the registration of all securities offerings and sales, as well as of every U.S. stockbroker and brokerage firm. However, these Blue Sky laws were generally found to be ineffective. To increase public trust in the capital markets the President of the United States, Franklin D. Roosevelt, established the U.S. Securities and Exchange Commission (SEC). The main reason for the creation of the SEC was to regulate the stock market and prevent corporate abuses relating to the offering and sale of securities and corporate reporting. The SEC was given the power to license and regulate stock exchanges, the companies whose securities traded on them, and the brokers and dealers who conducted the trading.
For detection of fraudulent activities on the large scale, massive use of (online) data analysis is required, in particular predictive analytics or forensic analytics. Forensic analytics is the use of electronic data to reconstruct or detect financial fraud. The steps in the process are data collection, data preparation, data analysis, and the preparation of a report and possibly a presentation of the results. Using computer-based analytic methods Nigrini's wider goal is the detection of fraud, errors, anomalies, inefficiencies, and biases which refer to people gravitating to certain dollar amounts to get past internal control thresholds.
The analytic tests usually start with high-level data overview tests to spot highly significant irregularities. In a recent purchasing card application these tests identified a purchasing card transaction for 3,000,000 Costa Rica Colons. This was neither a fraud nor an error, but it was a highly unusual amount for a purchasing card transaction. These high-level tests include tests related to Benford's Law and possibly also those statistics known as descriptive statistics. These high-tests are always followed by more focused tests to look for small samples of highly irregular transactions. The familiar methods of correlation and time-series analysis can also be used to detect fraud and other irregularities. Forensic analytics also
Includes the use of a fraud risk-scoring model to identify high risk forensic units (customers, employees, locations, insurance claims and so on). Forensic analytics also includes suggested tests to identify financial statement irregularities, but the general rule is that analytic methods alone are not too successful at detecting financial statement fraud.