Why Employers Need to Comply With I-9 Employment Verification

With business and bigger organizations job vacancies and hiring new professionals is a way of doing business and attaining their goals as per their schedule as they treat their employees as valuable assets. Often when it comes to employment and new hiring in United States every employer has to make sure that the newly hired person is legally authorized to work in United States and for the same he should accept a completed I-9 Employment Verification form. Recently the strict practices to make sure every employer effectively deal with immigration compliance are likely to continue for foreseeable future therefore it becomes prime necessity of every employer to attain the I-9 Employment Verification form along with every new hire.

I-9 Employment Verification form is regardless of the tendency to hire an immigrant or an US citizen and it must properly comply with the rules prescribed regarding the I-9 form. It becomes moral duty of the employee to fill and complete the Section I of the I-9 Employment Verification form on or before the first day of hiring a new employee. In order to complete, the foresaid requisite employer should make clear that employee has submitted US citizenship proof, lawful permanent address or a lawful work authorization if he is a foreign national to attest the form. Within three days of hiring employee needs to check the original documents against those submitted by the employee to prevent any forgery and duplicity. Usually the employer or on his behalf Human Resource has to conduct this inspection and scrutiny procedure described in Section II of the I-9 Employment Verification form.

Although in all there is only one page in the I-9 Employment Verification form, sometimes it becomes extremely difficult to complete this form in legal and expected manner. Therefore, the concerned department authorized to fill those forms should avoid making any mistakes in filling the form to eliminate any possibilities of discriminating I-9 form laws. While making sure that the documents are in place one area where employers have to maintain their relation with the newly hired is by eliminating any possibilities of “Document abuse”. This again is a federal crime wherein employer pressurized the newly hired to submit specific documents or too many documents to authorize the legal status of the persons to work in United States.

Any failed attempts or any procedure not seems in line with the compliance of I-9 Employment Verification form might lead to civil fines ranging from $ 100 to $ 1000 for each I-9 documentation violation. Too many similar mistakes may put the employer at stake thinking he is habitual violator of I-9 compliance. Worst-case scenario is when any illegal immigrant found employed in the organizations and the fines for such crimes range from $ 375 to $ 16,000 and serious or repeated violation of I-9 Employment Verification laws may lead to criminal sanctions and imprisonment.

Central bank

european-central-bankA central bank, reserve bank, or monetary authority is a public institution that usually issues the currency, regulates the money supply, and controls the interest rates in a country. Central banks often also oversee the commercial banking system of their respective countries. In contrast to a commercial bank, a central bank possesses a monopoly on printing the national currency, which usually serves as the nation’s legal tender. Examples include the Bank of England, the European Central Bank (ECB), the Federal Reserve of the United States, and the People’s Bank of China.

The primary function of a central bank is to provide the nation’s money supply, but more active duties include controlling interest rates (i.e., price fixing), and acting as a lender of last resort to the banking sector during times of financial crisis (e.g., bailouts). It may also have supervisory powers, intended to prevent banks and other financial institutions from reckless or fraudulent behaviour. Central banks in most developed nations are independent in that they operate under rules designed to render them free from political interference.

In Europe prior to the 17th century most money was commodity money, typically gold or silver. However, promises to pay were widely circulated and accepted as value at least five hundred years earlier in both Europe and Asia. The Song Dynasty was the first to issue generally circulating paper currency, while the Yuan Dynasty was the first to use notes as the predominant circulating medium. In 1455, in an effort to control inflation, the succeeding Ming Dynasty ended the use of paper money and closed much of Chinese trade. The medieval European Knights Templar ran an early prototype of a central banking system, as their promises to pay were widely respected, and many regard their activities as having laid the basis for the modern banking system.

As the first public bank to “offer accounts not directly convertible to coin”, the Bank of Amsterdam established in 1609 is considered to be the first central bank. The central bank of Sweden (“Sveriges Riksbank” or simply “Riksbanken”) was founded in Stockholm in 1664, making it the oldest central bank still operating today.[5] One role of the Swedish central bank was lending to the government, which was likewise true of the Bank of England, created in 1694 by Scottish businessman William Paterson in the City of London at the request of the English government to help pay for a war. The War of the Second Coalition led to the creation of the Banque de France in 1800.

Although central banks today are generally associated with fiat money, the 19th and early 20th centuries central banks in most of Europe and Japan developed under the international gold standard, elsewhere free banking or currency boards were more usual at this time. Problems with collapses of banks during downturns, however, was leading to wider support for central banks in those nations which did not as yet possess them, most notably in Australia.

The US Federal Reserve was created by the U.S. Congress through the passing of The Federal Reserve Act in the Senate and its signing by President Woodrow Wilson on the same day, December 23, 1913. Australia established its first central bank in 1920, Colombia in 1923, Mexico and Chile in 1925 and Canada and New Zealand in the aftermath of the Great Depression in 1934. By 1935, the only significant independent nation that did not possess a central bank wasBrazil, which subsequently developed a precursor thereto in 1945 and the present central bank twenty years later. Having gained independence, African and Asian countries also established central banks or monetary unions.

The People’s Bank of China evolved its role as a central bank starting in about 1979 with the introduction of market reforms, which accelerated in 1989 when the country adopted a generally capitalist approach to its export economy. Evolving further partly in response to the European Central Bank, the People’s Bank of China has by 2000 become a modern central bank. The most recent bank model, was introduced together with the euro, involves coordination of the European national banks, which continue to manage their respective economies separately in all respects other than currency exchange and base interest rates.

Commercial bank

A commercial bank (or business bank) is a type of financial institution and intermediary. It is a bank that provides transactional, savings, and money market accounts and that accepts time deposits.

After the implementation of the Glass–Steagall Act, the U.S. Congress required that banks engage only in banking activities, whereas investment banks were limited to capital market activities. As two no longer have to be under separate ownership under U.S. law, some use the term “commercial bank” to refer to a bank or a division of a bank primarily dealing with deposits and loans from corporations or large businesses. In some other jurisdictions, the strict separation of investment and commercial banking never applied. Commercial banking may also be seen as distinct from retail banking, which involves the provision of financial services direct to consumers. Many banks offer both commercial and retail banking services.

The name bank derives from the Italian word banco ”desk/bench”, used during the Renaissance by Florentine bankers, who used to make their transactions above a desk covered by a green tablecloth.[2]However, traces of banking activity can be found even in ancient times.

In fact, the word traces its origins back to the Ancient Roman Empire, where moneylenders would set up their stalls in the middle of enclosed courtyards called macella on a long bench called a bancu, from which the words banco and bankare derived. As a moneychanger, the merchant at the bancu did not so much invest money as merely convert the foreign currency into the only legal tender in Rome- that of the Imperial Mint.

Commercial banks engage in the following activities:

 

  • processing of payments by way of telegraphic transfer, EFTPOS, internet banking, or other means
  • issuing bank drafts and bank cheques
  • accepting money on term deposit
  • lending money by overdraft, installment loan, or other means
  • providing documentary and standby letter of credit, guarantees, performance bonds, securities underwriting commitments and other forms of off balance sheet exposures
  • safekeeping of documents and other items in safe deposit boxes
  • distribution or brokerage, with or without advice, of insurance, unit trusts and similar financial products as a “financial supermarket”
  • cash management and treasury
  • merchant banking and private equity financing
  • traditionally, large commercial banks also underwrite bonds, and make markets in currency, interest rates, and credit-related securities, but today large commercial banks usually have an investment bank arm that is involved in the mentioned activities.

 

 

Intangible asset finance

Intangible Asset Finance is the branch of finance that deals with intangible assets such as patents (legal intangible) and reputation (competitive intangible). Like other areas of finance, intangible asset finance is concerned with the interdependence of value, risk, and time.

In 2003, one estimate put the economic equilibrium of intangible assets in the U.S. economy at $5 trillion, which represented over one-third or more of the value of U.S. domestic corporations in the first quarter of 2001.

One of the goals of people working in this field is to unlock the “hidden value” found in intangible assets through the techniques of finance. Another goal is to measure how firm performance correlates with intangible asset management.

Intangible assets include business processes, Intellectual Property (IP) such as patents, trademarks, reputations for ethics and integrity, quality, safety, sustainability, security, and resilience. Today, these intangibles drive cash flow and are the primary sources of risk. Intangible asset information, management, risk forecasting and risk transfer are growing services as the economic base divests itself of physical assets.

A number of intangible asset business models have evolved over the years.

  • Patent Licensing & Enforcement Companies (“P-LECs”): These are firms that acquire patents for the sole purpose of securing licenses and/or damages awards from infringing parties. Perhaps the most famous P-LEC is NTP, Inc., which has successfully asserted patents related to email push technology. Another name for a P-LEC is “patent troll,” although this is viewed as a pejorative reference. Recently, hedge funds have raised capital for the specific purpose of investing in patent litigation. One such hedge fund is Altitude Capital Partners, which is based in New York.
  • Royalty stream securitizers: These are firms that are engaged in the buying and selling of what are essentially specialized asset-backed securities. The assets that are securitized are typically intellectual properties, such as patents, that have been bearing royalties for a period of time. Royalty Pharma is a well known firm that uses this business model, and which has done by far the largest and most high-profile deals in this space. Royalty Pharma handled what many consider to be the first pharmaceutical patent-backed securitization to be rated by Standard and Poors, which involved a patent on the HIV drug Zerit. The other parties involved in the Zerit transaction were Yale (the owner of the patent) and Bristol Myers Squibb.
  • Reinsurers: These are firms that use the techniques of reinsurance to mitigate intangible asset risks. In the same way that some firms issue Cat bonds to mitigate the risks associated with extreme weather, earthquakes, or other natural disasters, firms exposed to substantial intangible risk can issue “intangible asset risk-linked securities” that transfer intangible risk to hedge funds and other players in the capital markets with a sufficient appetite for risk. Steel City Re, which is based in Pittsburgh, is a thought leader regarding the use of risk transfer techniques to protect and recover intangible asset value.
  • Market makers: Firms that are working to provide more liquidity to the market for intellectual property. Early market makers offered on-line intellectual property exchanges where buyers and sellers could exchange rights in licensed intellectual property, usually patents. On April 22, 2008, Ocean Tomo reported[5] that it had transacted approximately $70 million in its IP auctions across Europe and the United States. In 2009, The Intellectual Property Exchange International (IPXI), headquartered in Chicago, will begin operations as the world’s first stock exchange with an intellectual property focus.
  • Investment Research Firms: Companies that provide specific advice to investors on intellectual property issues. Recently, hedge fund managers have been hiring patent attorneys to follow and handicap outcomes in high stakes patent cases. IPD Analytics, which is based in Miami, is known for is research reports on patent litigation pending in the United States district court as well at the United States Court of Appeals for the Federal Circuit.

Behavioral economics

Behavioral economics and its related area of study, behavioral finance, use social, cognitive and emotional factors in understanding the economic decisions of individuals and institutions performing economic functions, including consumers, borrowers and investors, and their effects on market prices, returns and the resource allocation. The fields are primarily concerned with the bounds of rationality of economic agents. Behavioral models typically integrate insights from psychology with neo-classical economic theory.

Behavioral analysts are not only concerned with the effects of market decisions but also with public choice, which describes another source of economic decisions with related biases towards promoting self-interest.

History

During the classical period, microeconomics was closely linked to psychology. For example, Adam Smith wrote The Theory of Moral Sentiments, which proposed psychological explanations of individual behavior and Jeremy Bentham wrote extensively on the psychological underpinnings of utility. However, during the development of neo-classical economics economists sought to reshape the discipline as a natural science, deducing economic behavior from assumptions about the nature of economic agents. They developed the concept of homo economicus, whose psychology was fundamentally rational. This led to unintended and unforeseen errors.

However, many important neo-classical economists employed more sophisticated psychological explanations, including Francis Edgeworth, Vilfredo Pareto, Irving Fisher and John Maynard Keynes. Economic psychology emerged in the 20th century in the works of Gabriel Tarde, George Katona and Laszlo Garai. Expected utility and discounted utility models began to gain acceptance, generating testable hypotheses about decision making given uncertainty andintertemporal consumption respectively. Observed and repeatable anomalies eventually challenged those hypotheses, and further steps were taken by the Nobel prizewinner Maurice Allais, for example in setting out the Allais paradox, a decision problem he first presented in 1953 which contradicts the expected utility hypothesis.

In the 1960s cognitive psychology began to shed more light on the brain as an information processing device (in contrast to behaviorist models). Psychologists in this field, such as Ward Edwards,[4] Amos Tversky and Daniel Kahnemanbegan to compare their cognitive models of decision-making under risk and uncertainty to economic models of rational behavior. In mathematical psychology, there is a longstanding interest in the transitivity of preference and what kind of measurement scale utility constitutes (Luce, 2000).

Prospect theory

In 1979, Kahneman and Tversky wrote Prospect theory: An Analysis of Decision Under Risk, an important paper that used cognitive psychology to explain various divergences of economic decision making from neo-classical theory.Prospect theory is an example of generalized expected utility theory. Although not a conventional part of behavioral economics, generalized expected utility theory is similarly motivated by concerns about the descriptive inaccuracy ofexpected utility theory.

In 1968 Nobel Laureate Gary Becker published Crime and Punishment: An Economic Approach, a seminal work that factored psychological elements into economic decision making. Becker, however, maintained strict consistency of preferences. Nobelist Herbert Simon developed the theory of Bounded Rationality to explain how people irrationally seek satisfaction, instead of maximizing utility, as conventional economics presumed. Maurice Allais produced “Allais Paradox”, a crucial challenge to expected utility.

Psychological traits such as overconfidence, projection bias, and the effects of limited attention are now part of the theory. Other developments include a conference at the University of Chicago, a special behavioral economics edition of theQuarterly Journal of Economics (‘In Memory of Amos Tversky’) and Kahneman’s 2002 Nobel for having “integrated insights from psychological research into economic science, especially concerning human judgment and decision-making under uncertainty”.

Intertemporal choice

Behavioral economics has also been applied to intertemporal choice. Intertemporal choice behavior is largely inconsistent, as exemplified by George Ainslie’s hyperbolic discounting (1975) which is one of the prominently studied observations, further developed by David Laibson, Ted O’Donoghue, and Matthew Rabin. Hyperbolic discounting describes the tendency to discount outcomes in near future more than for outcomes in the far future. This pattern of discounting is dynamically inconsistent (or time-inconsistent), and therefore inconsistent with basic models of rational choice, since the rate of discount between time t and t+1 will be low at time t-1, when t is the near future, but high at time t when t is the present and time t+1 the near future.

The pattern can actually be explained through models of subadditive discounting which distinguishes the delay and interval of discounting: people are less patient (per-time-unit) over shorter intervals regardless of when they occur. Much of the recent work on intertemporal choice indicates that discounting is a constructed preference. Discounting is influenced greatly by expectations, framing, focus, thought listings, mood, sign, glucose levels, and the scales used to describe what is discounted. Some prominent researchers question whether discounting, the major parameter of intertemporal choice, actually describes what people do when they make choices with future consequences. Considering the variability of discount rates, this may be the case.

Other areas of research

Other branches of behavioral economics enrich the model of the utility function without implying inconsistency in preferences. Ernst Fehr, Armin Falk, and Matthew Rabin studied “fairness”, “inequity aversion”, and “reciprocal altruism”, weakening the neoclassical assumption of “perfect selfishness.” This work is particularly applicable to wage setting. Work on “intrinsic motivation” by Gneezy and Rustichini and on “identity” by Akerlof and Kranton assumes agents derive utility from adopting personal and social norms in addition to conditional expected utility.

“Conditional expected utility” is a form of reasoning where the individual has an illusion of control, and calculates the probabilities of external events and hence utility as a function of their own action, even when they have no causal ability to affect those external events.

Behavioral economics caught on among the general public, with the success of books like Dan Ariely’s Predictably Irrational. Practitioners of the discipline have studied quasi-public policy topics such as broadband mapping.

Mathematical finance

Mathematical finance is a field of applied mathematics, concerned with financial markets. The subject has a close relationship with the discipline of financial economics, which is concerned with much of the underlying theory. Generally, mathematical finance will derive and extend the mathematical or numerical models suggested by financial economics. Thus, for example, while a financial economist might study the structural reasons why a company may have a certainshare price, a financial mathematician may take the share price as a given, and attempt to use stochastic calculus to obtain the fair value of derivatives of the stock (see: Valuation of options).

In terms of practice, mathematical finance also overlaps heavily with the field of computational finance (also known as financial engineering). Arguably, these are largely synonymous, although the latter focuses on application, while the former focuses on modeling and derivation (see: Quantitative analyst). The fundamental theorem of arbitrage-free pricing is one of the key theorems in mathematical finance. Many universities around the world now offer degree and research programs in mathematical finance; see Master of Mathematical Finance.

Quantitative derivatives pricing was initiated by Louis Bachelier in The Theory of Speculation (published 1900), with the introduction of the most basic and most influential of processes, the Brownian motion, and its applications to the pricing of options. However, Bachelier’s work hardly caught any attention outside academia.

The theory remained dormant until Fischer Black and Myron Scholes, along with fundamental contributions by Robert C. Merton, applied the second most influential process, the geometric Brownian motion, to option pricing. For this M. Scholes and R. Merton were awarded the 1997 Nobel Memorial Prize in Economic Sciences. Black was ineligible for the prize because of his death in 1995.

A process satisfying (1) is called a “martingale”. A martingale does not reward risk. Thus the probability of the normalized security price process is called “risk-neutral” and is typically denoted by the blackboard font letter “\mathbb{Q}“.
The relationship (1) must hold for all times t: therefore the processes used for derivatives pricing are naturally set in continuous time.
The quants who operate in the Q world of derivatives pricing are specialists with deep knowledge of the specific products they model.
Securities are priced individually, and thus the problems in the Q world are low-dimensional in nature. Calibration is one of the main challenges of the Q world: once a continuous-time parametric process has been calibrated to a set of traded securities through a relationship such as (1), a similar relationship is used to define the price of new derivatives.
The main quantitative tools necessary to handle continuous-time Q-processes are Ito’s stochastic calculus and partial differential equations (PDE’s).

Financial risk management

Financial risk management is the practice of creating economic value in a firm by using financial instruments to manage exposure to risk, particularly credit risk and market risk. Other types include Foreign exchange, Shape, Volatility, Sector, Liquidity, Inflation risks, etc. Similar to general risk management, financial risk management requires identifying its sources, measuring it, and plans to address them.

Financial risk management can be qualitative and quantitative. As a specialization of risk management, financial risk management focuses on when and how to hedge using financial instruments to manage costly exposures to risk.

In the banking sector worldwide, the Basel Accords are generally adopted by internationally active banks for tracking, reporting and exposing operational, credit and market risks.

Finance theory (i.e., financial economics) prescribes that a firm should take on a project when it increases shareholder value. Finance theory also shows that firm managers cannot create value for shareholders, also called its investors, by taking on projects that shareholders could do for themselves at the same cost.

When applied to financial risk management, this implies that firm managers should not hedge risks that investors can hedge for themselves at the same cost. This notion was captured by the hedging irrelevance proposition: In a perfect market, the firm cannot create value by hedging a risk when the price of bearing that risk within the firm is the same as the price of bearing it outside of the firm. In practice, financial markets are not likely to be perfect markets.

This suggests that firm managers likely have many opportunities to create value for shareholders using financial risk management. The trick is to determine which risks are cheaper for the firm to manage than the shareholders. A general rule of thumb, however, is that market risks that result in unique risks for the firm are the best candidates for financial risk management.

The concepts of financial risk management change dramatically in the international realm. Multinational Corporations are faced with many different obstacles in overcoming these challenges. There has been some research on the risks firms must consider when operating in many countries, such as the three kinds of foreign exchange exposure for various future time horizons: transactions exposure, accounting exposure, and economic exposure.

Megaprojects (sometimes also called “major programs”) have been shown to be particularly risky in terms of finance. Financial risk management is therefore particularly pertinent for megaprojects and special methods have been developed for such risk management.

Financial economics

Financial economics is the branch of economics concerned with “the allocation and deployment of economic resources, both spatially and across time, in an uncertain environment”. It is additionally characterised by its “concentration on monetary activities”, in which “money of one type or another is likely to appear on both sides of a trade”. The questions within financial economics are typically framed in terms of “time, uncertainty, options and information”.

  • Time: money now is traded for money in the future.
  • Uncertainty (or risk): The amount of money to be transferred in the future is uncertain.
  • Options: one party to the transaction can make a decision at a later time that will affect subsequent transfers of money.
  • Information: knowledge of the future can reduce, or possibly eliminate, the uncertainty associated with future monetary value (FMV).

The subject is usually taught at a postgraduate level; see Master of Financial Economics.

Financial economics is the branch of economics studying the interrelation of financial variables, such as prices, interest rates and shares, as opposed to those concerning the real economy. Financial economics concentrates on influences of real economic variables on financial ones, in contrast to pure finance.

It studies:

  • Valuation - Determination of the fair value of an asset
    • How risky is the asset? (identification of the asset appropriate discount rate)
    • What cash flows will it produce? (discounting of relevant cash flows)
    • How does the market price compare to similar assets? (relative valuation)
    • Are the cash flows dependent on some other asset or event? (derivatives, contingent claim valuation)
  • Financial markets and instruments
    • Commodities - topics
    • Stocks - topics
    • Bonds - topics
    • Money market instruments- topics
    • Derivatives - topics
  • Financial institutions and regulation

Financial Econometrics is the branch of Financial Economics that uses econometric techniques to parameterise the relationships.

Finance

Finance is the study of funds management. The general areas of finance are business financepersonal finance (private finance), and public finance. Finance includes saving money and often includes lending money. The field of finance deals with the concepts of time, money, risk and how they are interrelated. It also deals with how money is spent and budgeted.

One facet of finance is through individuals and business organizations, which deposit money in a bank. The bank then lends the money out to other individuals or corporations for consumption or investmentand charges interest on the loans.

Loans have become increasingly packaged for resale, meaning that an investor buys the loan (debt) from a bank or directly from a corporation. Bonds are debt instruments sold to investors for organizations such as companies, governments or charities. The investor can then hold the debt and collect the interest or sell the debt on a secondary market. Banks are the main facilitators of funding through the provision of credit, although private equity, mutual funds, hedge funds, and other organizations have become important as they invest in various forms of debt. Financial assets, known as investments, arefinancially managed with careful attention to financial risk management to control financial risk. Financial instruments allow many forms of securitized assets to be traded on securities exchanges such asstock exchanges, including debt such as bonds as well as equity in publicly traded corporations.

Central banks, such as the Federal Reserve System banks in the United States and Bank of England in the United Kingdom, are strong players in public finance, acting as lenders of last resort as well as strong influences on monetary and credit conditions in the economy