Understanding Individual Investor Behaviour

Finance theory believes that investors decisions are based on profit maximisation. Efficient Markets Hypothesis (EMH), also considered as the heart of traditional finance implies that investors get all of the information without cost. As such, the price of stocks always reveals their fundamental value and is consistent; nonetheless, the reality depicts that investors in the markets are not always rational in their decisions and that other factors might affect them when they are making their investment decisions.
Most economic theories are based on the notion that individuals behave rationally and that every existing information is set in the investment process. An efficient market hypothesis is the crux of the assumption.

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A Closer Look At Reason For Startup Failure

On first sight, starting and building a business might seem an easy and simple task to do. Unfortunately, new businesses are still prone to failures and usually fail even before they soar high. The global stats depict that 50% of small businesses fail during the first year and 95% in the first 5 years. While those start-ups that exist applied the right business tactics and principles, but the numbers are too few to justify. The idea to start a business needs a pro-active understanding of the failures encountered by others, mistakes to avoid, and pitfalls to evade.

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Evolution Of FinTech In India

India, a country with more than 1.3 billion people, is making a move towards a radical and disruptive Tech-Finance alliance. This alliance between technology and finance is upgrading, all the while enhancing operations. Primarily, fintech is the combination of technology in finance, offering effective financial solutions than traditional institutions.
Fintech began by setting its operations in the banking industry. Over the last few years, this industry has witnessed tremendous development, extending its wings to the insurance and asset management industry. Today, fintech companies are analysing customer behaviour pattern by implementing innovative technology like machine learning and artificial intelligence.

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Depreciation Of Rupee What It Means For Investors

As the nation votes to elect the next parliament, the Indian Rupee which is already down about 1% this year, is forecasted to drop nearly 2% by May-end, signifying that the upcoming elections are a clear risk to the economy. With the amount of money spent on holding a general election, the downfall of rupee comes as another significant hit to the Indian economy.
The Indian currency’s feeble start to 2019 provides a hint of how it will perform in the upcoming year, a Reuters poll confirmed, citing precariousness regarding general elections and a potential trade war with the U.S. Last year in October, the currency dropped around 10% and hit an all-time low of 70.40 against a dollar, validating its worst performance since 2013.

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Managing The Modern Day Treasury

Business experts define Treasury Management as “The process of administering to the financial assets and holdings of a business.The goal of most treasury management departments is to optimise their company's liquidity, make sound financial investments for the future with any excess cash, and reduce or enter into hedges against its financial risks”.

A lot of responsibilities come with managing the treasury of an organisation like liquidity management, risk management, planning strategic advice, access to capital, merger and acquisition activities, monitoring working capital and investment. Here's how CFO's and the C-suite can enhance this through digitisation.

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Data Analytics and The Modern Day CFO

Industry experts define data analytics as “The discovery and communication of meaningful patterns in data. Especially valuable in areas rich with recorded information, analytics relies on the simultaneous application of statistics, computer programming and operations research to quantify performance. Analytics often favours data visualization to communicate insight.” Among the prominent data analysis methods utilised by modern industries, the most important is Big data analytics. Today's business world has gone through drastic changes with management decisions which were previously developed using knowledge and intuition being formulated with the help of facts and data now.

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