Finance

The main techniques and sectors of the financial industry
An entity whose income exceeds its expenditure can lend or invest the excess income. On the other hand, an entity whose income is less than its expenditure can raise capital by borrowing or selling equity claims, decreasing its expenses, or increasing its income. The lender can find a borrower, a financial intermediary such as a bank, or buy notes or bonds in the bond market. The lender receives interest, the borrower pays a higher interest than the lender receives, and the financial intermediary pockets the difference.
A bank aggregates the activities of many borrowers and lenders. A bank accepts deposits from lenders, on which it pays the interest. The bank then lends these deposits to borrowers. Banks allow borrowers and lenders, of different sizes, to coordinate their activity. Banks are thus compensators of money flows in space.
A specific example of corporate finance is the sale of stock by a company to institutional investors like investment banks, who in turn generally sell it to the public. The stock gives whoever owns it part ownership in that company. If you buy one share of XYZ Inc, and they have 100 shares outstanding (held by investors), you are 1/100 owner of that company. Of course, in return for the stock, the company receives cash, which it uses to expand its business in a process called "equity financing". Equity financing mixed with the sale of bonds (or any other debt financing) is called the company's capital structure.
Finance is used by individuals (personal finance), by governments (public finance), by businesses (corporate finance), as well as by a wide variety of organizations including schools and non-profit organizations. In general, the goals of each of the above activities are achieved through the use of appropriate financial instruments, with consideration to their institutional setting.
Finance is one of the most important aspects of business management. Without proper financial planning a new enterprise is unlikely to be successful. Managing money (a liquid asset) is essential to ensure a secure future, both for the individual and an organization.

Personal finance
Questions in personal finance revolve around
How much money will be needed by an individual (or by a family) at various points in the future?
Where will this money come from (e.g. savings or borrowing)?
How can people protect themselves against unforeseen events in their lives, and risk in financial markets?
How can family assets be best transferred across generations (bequests and inheritance)?
How do taxes (tax subsidies or penalties) affect personal financial decisions?
How does credit affect an individual's financial standing?
How can one plan for a secure financial future in an environment of economic instability?
Personal financial decisions may involve paying for education,financing durable goods such as real estate and cars, buying insurance, e.g. health and property insurance, investing and saving for retirement.
Personal financial decisions may also involve paying for a loan.

Corporate finance
Managerial or corporate finance is the task of providing the funds for a corporation's activities. For small business, this is referred to as SME finance. It generally involves balancing risk and profitability, while attempting to maximize an entity's wealth and the value of its stock.
Long term funds are provided by ownership equity and long-term credit, often in the form of bonds. The balance between these forms the company's capital structure. Short-term funding or working capital is mostly provided by banks extending a line of credit.
Another business decision concerning finance is investment, or fund management. An investment is an acquisition of an asset in the hope that it will maintain or increase its value. In investment management – in choosing a portfolio – one has to decide what, how much and when to invest. To do this, a company must:
Identify relevant objectives and constraints: institution or individual goals, time horizon, risk aversion and tax considerations;
Identify the appropriate strategy: active v. passive – hedging strategy
Measure the portfolio performance
Financial management is duplicate with the financial function of the Accounting profession. However, financial accounting is more concerned with the reporting of historical financial information, while the financial decision is directed toward the future of the firm.

Experimental finance
Experimental finance aims to establish different market settings and environments to observe experimentally and provide a lens through which science can analyze agents' behavior and the resulting characteristics of trading flows, information diffusion and aggregation, price setting mechanisms, and returns processes. Researchers in experimental finance can study to what extent existing financial economics theory makes valid predictions, and attempt to discover new principles on which such theory can be extended. Research may proceed by conducting trading simulations or by establishing and studying the behaviour of people in artificial competitive market-like settings.

Quantitative behavioral finance
Quantitative Behavioral Finance is a new discipline that uses mathematical and statistical methodology to understand behavioral biases in conjunction with valuation. Some of this endeavor has been lead by Gunduz Caginalp (Professor of Mathematics and Editor of Journal of Behavioral Finance during 2001-2004) and collaborators including Vernon Smith (2002 Nobel Laureate in Economics), David Porter, Don Balenovich, Vladimira Ilieva, Ahmet Duran, Huseyin Merdan). Studies by Jeff Madura, Ray Sturm and others have demonstrated significant behavioral effects in stocks and exchange traded funds.
The research can be grouped into the following areas:
1. Empirical studies that demonstrate significant deviations from classical theories.
2. Modeling using the concepts of behavioral effects together with the non-classical assumption of the finiteness of assets.
3. Forecasting based on these methods.
4. Studies of experimental asset markets and use of models to forecast experiments.

credit : wikipedia