Terms Beginning With 'f'

Full Ratchet

It refers to a provision that safeguards the interest of existing option holders, convertible preferred shareholders from any potential dilution due to the additional financing through the issue of shares. It provides a cover to the existing investors that could be caused by issuing new share at price lower than original investments by existing shareholders.

What is Data Analytics?  Data Analytics involves a set of quantitative and qualitative approaches and processes that can be used to determine useful information for business decision-making. The process involves various patterns and techniques, including: extracting a raw database, and categorising it to identify and analyse the behaviour, relation and connection of the results.  The ultimate goal is to acquire valuable information in order to make decisions for businesses’ benefit and productivity.  In today's competitive times, most companies chalk out their business plan with the help of data analytics. With organisations becoming customer-service oriented, data analytics has become a critical tool to reach the target audience in an effective manner while understanding their requirements. Once data is collected, it is analysed and stored according to organisations’ requirements.  The data analysis process has multiple layers involved, and its diverse modules are not just used in businesses but also in science and social science fields. Rather than making decisions based on just available information, one can utilise data analytics in examining the data in standard ways and churning out the results from it.  It has been observed that companies generally make decisions based on past references and future outcomes. Data analytics appears advantageous in providing useful information towards this end.  Why do Businesses Need to Use Data Analytics?  Many data analytics’ tools and softwares are readily available these days. These systems use resources, such as machine learning algorithms and automation.   Data scientists and analysts are counted amongst the leading career options as well. These professionals use data analytics techniques while researching and presenting useful information for businesses to increase productivity and gain. The process helps companies understand their target audience and determine effective ways to cater to their needs. Data analytics can further be used to design strategies in marketing campaigns and promotions and also evaluate its results.  Data analytics is primarily used in business-to-consumer (B2C) processes to boost business performance and improve the bottom line. There are data collection firms which gather consumer information and provide it to the businesses so that the companies can effectively influence the market. The collected data is not only used to understand and impact consumer behaviour but also determine market economics and its practical implementation.  The data used in the process can be either be data collected in the past or newly updated data. There are various methods to manage consumer and market information. It may come directly from the customers or potential customers or can be purchased from the data collection vendors. The data primarily includes audience demographics, behavioural patterns and expense threshold.  How Can Data Analytics be Effectively Used in Business Processes? Data analytics is an ever-evolving technique. Earlier, the data was collected manually, but with the rise of internet and technology, data is now collected online with the help of search engines and social media platforms. Subsequently, the information is analysed through available software.  Here is a list of some key steps businesses can follow to leverage the benefits of data analytics: Set up crucial metrics: This step reduces the guesswork and provide data-based insights to the businesses. Before embarking on the data analytics process, it is vital to determine the goal for your business. Analysing customer data helps in understanding conversion rate, consumer spending ability, demographics etc. The results of the analysis can support the businesses while making decisions in launching an advertising or marketing campaign. Similarly, the unwanted data can be erased from the database so that the brands can focus on their right target audience. The relevant metrics will change the course of the company and push it in the right direction. Moreover, once your key metrics are set, even when the market conditions change in the future, you can adjust the metrics according to the requirement and achieve the results. Set a clear module: It is important to examine the data correctly by avoiding common mistakes. An ambiguous path can produce confusing insights while wasting time and energy of businesses.  Therefore, it is recommended to draw a clear goal in order to achieve actionable insights. The data, when collected from different sources, need to be merged accurately in the analytics model. Businesses can modulate their data analytics systems either manually or through automation. There are various data modelling practices available in the market. The best use of these techniques can simplify the process of modelling complex data.  Data visualisation: Once the relevant data is collected, and the modules are set to analysis, visualisation of that data will assist in understanding the information correctly. When the businesses have an acute knowledge of what their target audience wants, they can then focus on strategising advertisement and content, which matches the consumers' interest.  It is the critical step in the data analytics process to distinguish insights from information.  Not everyone is comfortable dealing with numbers. Hence, ensuring that key stakeholders understand essential points and information can be displayed in a visually appealing format seem crucial to capitalise on data effectively. Right tools to implement insights:Having access to data and insights can get overwhelming. However, the information is worthless if the businesses are unable to implement it successfully. While it is important to collect the data and set critical metrics and modules to analyse it, it is also imperative to translate the data into practical actions. The eventual goal is to improve sales or grow profits. It is ultimately in the marketers' hands to transform the gained insights into a successful implementation. The consumers' insights should be incorporated while establishing a marketing plan and at all decision-making steps. 

What is Day Trading? Day trading is popular among a section of market participants. It is a type of speculation wherein trades are squared-off before the market close in the same day. An individual or a group is engaged in buying and selling of securities for a short period for profits, the trades could be active for seconds, minutes or hours.  One can engage in day trading of many securities in the market. Anyone who has sufficient capital to fund the purchase can engage in day trading. For a class of people, day trading is a full-time job.  Day traders are agnostic to the long-term implications of the security and motive is to benefit from the price changes on either side and make profit out of the asset price fluctuations within a day. They bet on price movements of the security and are not averse to take short positions to benefit from the fall in price.  Day trading is not only popular among individuals or retail traders but institutional traders as well, therefore the price movements are large sometimes depending on the magnitude of information flow and accessibility.  Everyone wants to make money faster, and many are inclined to speculate in markets, but it comes with considerable risk and potential loss of capital. People engaged in day trading also incur losses, and oftentimes outcomes are disheartening.  Day trading is a risky activity, similar to sports betting and gambling, and it could become addictive just like gambling and sports betting. Since the motive is to earn profits, the profits realised from day trading also tempt people to continue speculating.  People spend considerable time and efforts to make the most out of day trading. They have to continuously absorb and incorporate information flow, which has become increasingly accessible driven by new-age communications systems like Twitter, Facebook, forums etc. But not only information flows have been favourable, day traders are now equipped with best in class infrastructure to execute trades even on compact devices like mobile phones. The accessibility to markets is at a paramount level and gone are days of phone call trading and lack of information flows.  What are the essentials for Day Trading? Basic knowledge of markets With lack of basic knowledge of markets, day trading may yield unacceptable outcomes. It becomes imperative for people to know what’s on the stake. Prospective day traders should know about capital markets, and the securities traded in capital markets like bonds, equity and derivatives.  Buying shares and expecting a return from the price movements are on the to-do list for many. However, it is important to know about and risks and potential returns from speculating in capital markets.  After getting some basic knowledge about markets and securities, aspiring day traders should know how to analyse market prices of securities through fundamental analysis and technical analysis. Although day traders don’t practice fundamental analysis extensively, they spend considerable time to apply technical analysis, to formulate a entry and exit strategy.   Device and internet connection Trading is now possible on mobile applications as well as computer applications or websites. An aspiring day trader will likely begin with mobile phone given the accessibility, and laptops/computers are useful as scale grows larger and complex.  Internet connection is prerequisite to practising day trading, and it is favourable to have a fast internet connection to avoid glitches and potential problems. These perquisites are now available with large sections of societies.  Broker and trading platform A broker will facilitate a market for potential trades. The security brokerage industry has also seen a profound shift as technology has driven cost lower while competition is ramping up across jurisdictions. Large retail brokerages have moved towards zero commission trading in the U.S., and the same is seen being the trend across other geographies as well.  The entry of discount and online brokerages has perhaps given wings to the retail market participants as well as the retail market for security brokers. Robinhood has grown immensely popular in the United States, but there are many firms like Robinhood in other jurisdictions. Each country has some firms with business model on same lines as Robinhood.  Brokers now offer high-quality mobile applications and web services to clients, and trading security has never been so accessible. They also provide access to the global market along with a range of securities, including commodity derivatives, currency derivatives, CFDs, options, futures, bond futures etc.  Real-time market information flow   On public sources, market price information is at times not live due technical shortcomings, which will not work appropriately, especially for day traders. Brokers not only provide platform and market but several other services, including margin lending, real-time data, research.  Day traders closely track prices of securities and overall information flow to incorporate developments in bidding, and real-time data provides accurate prices throughout market hours.  Information flow largely relates to the news around the company, industry or economy. Day traders now have far better sources of information than the conventional sources, and sometimes these sources could be exclusive to a group.  What are the risks of day trading? Most of the aspiring day traders end up losing money, given the lack of experience and knowledge. They should rather only bet on capital that they are comfortable to loose, in short, they should avoid risk of ruin. Day trading is sort of pure-play speculation and application of knowledge, information flow, laced with good trading system is paramount. The only concern of day traders is movement in price, which contradicts from investments. Day traders try to time and ride the momentum in the price and exit the trade before momentum turns otherwise, which can happen frequently.  It consumes considerable time and induces stress on the individuals given the nature of security prices, which can move north and south abruptly throughout the day, hours, minutes and seconds. Day traders should have enough capital to trade in cash instead of margin.  Day trading on margin or borrowed money is extremely risky and has the potential to make a person insolvent, especially in cases of extreme risk-taking. The leverage associated with borrowed money magnifies profits as well as losses.  Aspiring day traders should equip themselves with adequate knowledge, competency and sound risk management process. Although fast money is dear to most, it is better to know what is at stake before jumping into markets with excitement.   

What is EBITDA? Earnings Before Interest, Taxes, Depreciation, and Amortisation (EBITDA) is a widely used financial metric in evaluating cash flows and profitability of a business. Market participants closely track EBITDA and apply it in decision making extensively. Although conventional investors like Charlie Munger had raised concerns over the use of EBITDA, it is very popular in markets, and M&A transactions are mostly priced on EBITDA-based valuation like EV/EBITDA (x). EBITDA is not recognised by IFRS and GAAP but is used extensively in the Corporate Finance world. It is now a mainstream financial metric that companies look to target. EBITDA depicts operational cash generation capacity of a firm in a given period. It acts as an alternative to financial metrics like revenue, profit or earnings per share. EBITDA allows to evaluate a business operationally and outcomes of operating decisions. Non-operating items are excluded to arrive at EBITDA. EBITDA excludes the impact of capital structure or debt/equity, and non-cash expenses like depreciation and amortisation. A particular criticism of EBITDA has been the inappropriate outlook of capital intensive businesses, which incur large depreciation expenses. Business with large assets incurs substantial costs related to repair and maintenance, which are not captured in EBITDA because depreciation expenses are accounted to calculate EBITDA. Meanwhile, EBITDA can paint an appropriate picture for asset-light business with lower capital intensity. While revenue, profit and earning per share remain sought-after headline generators for corporates, EBITDA has also found its growing application in the corporate finance world and is now a mainstream metric to evaluate a business financially. Perhaps the growth of asset-light business models has also added to the use of EBITDA. Its debt-agnostic approach to evaluate businesses has given reasons to investors, especially for high growth firms during capital expenditure cycles. But EBITDA has been present for close to four decades now. In the 1980s, the growth in corporate takeovers through leverage buyout transaction was on a boom. EBITDA grew popular to value heavy industries like broadcasting, telecommunication, utilities. John Malone is credited for coining this term. He was working at TCI- a cable TV provider. Since EBITDA has remained an important metric to determine purchase price multiples and is highly used in M&A transactions. EBITDA’s application in large businesses with capital intensive assets that are written down over a long period has been a source of concern for many investors. Although EBITDA is an effective metric to evaluate the profitability of a firm, it does not reflect actual cash flow picture of a firm during a period. Also, it does not account for capital expenditures of the firm, which are crucial in successfully running a business. EBITDA does not give a fair cash flow position because it leaves out crucial items like working capital, debt and interest repayments, fixed expenses, capital expenditure. At the outset, there can be times when EBITDA may overstate performance, value and ability to repay debt. How to calculate EBITDA? NPAT: Net Profit after tax is the amount reported by a firm in the given period. It is present on the income statement of the firm and is used in the calculation of earnings per share of an entity. To calculate EBITDA, interest expense, tax, depreciation and amortisation are added to NPAT. Interest Expense: Firms can employ debt in their capital structure, and interest expense is funds paid to lenders as interest costs on principal debt. Most companies have different financing structure, and excluding interest payments enable comparing firms on operating grounds through EBITDA. Tax: Firms also pay income tax on profits. Excluding taxes gives a fair picture of the operating performance of the business since tax vary across jurisdictions, and sometimes according to size of business as well. Depreciation: Depreciation is the non-cash expense to account for the steady reduction in value of tangible assets. Firms can incur depreciation expense on machinery, vehicles, office assets, equipment etc.  Amortisation: Amortisation is the non-cash expense to account for the reduction in the value of intangible assets like patents, copyrights, export license, import license etc. Operating Profit: Operating profit is the core profit of a firm generated out of operations. It includes cash and non-cash expenses of a firm, excluding income tax and interest expenses. Operating Profit is also called Earnings Before Interest and Tax (EBIT). Read: EBIT vs EBITDA What is TTM EBITDA and NTM EBITDA? Trailing Twelve Months (TTM) or Last Twelve Months (LTM) EBITDA represents the EBITDA of the past twelve months of the firm. It allows to review the last operation performance of the business. Whereas NTM EBITDA represents 12-month forward forecast EBITDA of the firm. NTM EBITDA is also one-year forward EBITDA. Market participants are provided with consensus analysts’ estimates for a firm, which also include NTM EBITDA, NTM EPS, NTM Net Income or NPAT. What is EBITDA margin? EBITDA margin is the percentage proportion of a firm EBITDA against total revenue. It indicates the operational profitability of the firm and cash flows to some extent. If a firm has a higher margin, it means the level of EBITDA against revenue is higher. It is widely used in comparing similar companies and enable to evaluate businesses relatively. If a firm has a total revenue of $1 million and EBITDA is $800k, the EBITDA margin is 80%. What is adjusted EBITDA? Adjusted EBITDA is calculated to provide a fair view business after adding back non-cash items, one-time expenses, unrealised gains and losses, share-based payments, goodwill impairments, asset write-downs etc.

What is depreciation? Depreciation is an accounting method used to allocate the cost of a tangible asset to the books of accounts over the useful life of the asset. It is essentially the accounting for wear and tear on the asset over its useful life.  Depreciation also refers to the value of the asset that has been used over time. Assets of a firm that are used for over a one-year period largely include physical assets. Although firms incur expense while purchasing these assets, the expenses are not charged in the income statement.  Such assets are recorded in the balance sheet of the firm and are expensed on the income statement as depreciation expense over time during the life of the asset. The tax authorities also decide the useful life of assets because overstating depreciation expense can lower tax liability.  Now assets come in two variety: tangible assets and intangible assets. As the name suggests tangible, the tangible assets can be touched, such as equipment, machinery, computers, vehicles etc. Depreciation is used to expense the tangible assets of a firm.  Intangible assets cannot be touched and include assets like licenses, copyrights, patents, brand names, logos etc. Amortisation of assets is an accounting method similar to depreciation used to expense intangible assets.  Long-term assets are the source of generating revenue for firms over a long period of time, therefore the cost of acquiring tangible long-term assets is not expensed fully at the time of purchases and is expensed over the life of the asset.  As the asset is used over periods, the carrying value of an asset in the balance sheet is reduced over time. Carrying value of an asset is the original cost minus accumulated depreciation on the asset over time.  Since the cost of acquiring the long-term tangible asset is not expensed fully at the time of purchase and is expensed over its useful life, the depreciation expense is a non-cash charge because actual cash outgo was incurred at the time of purchase.  But depreciation expense reduces the reported earnings of the company as it is charged on the income statement of the firm. Since the expenses are deducted from the revenue of the firm, the tax liability of the firm is also reduced.  What are the methods of depreciation? Straight-line method The straight-line method is the most common method of depreciating an asset over its life. Under this method, the recurring depreciating amount of the asset remains constant and is not changed over the life of the asset.  For example, a firm buys a machine for $10000 with a salvage value of $2000, and the useful life of the asset is ten years. The depreciable value of the asset will be $8000, which is the cost of machine minus salvage value.  Now the firm will depreciate the $8000 each year at a rate of $800 per year. The per-year depreciation charge of $800 is the depreciable value of the asset divided by the useful life of the asset (8000/10).  Double declining balance depreciation method  It is an accelerated type of depreciation method. Under this method, the depreciation expense in higher in the beginning years and gradually reduces over the life of an asset. It also reflects that assets are more valuable in the early years of production compared to later years.  In this method, the subsequent depreciation charges after the initial charge are calculated using the ending balance of the asset in the last period. Ending balance of the asset is the original cost of the asset less accumulated depreciation. Also, the depreciation factor in this method is twice of the straight-line method. Depreciation expense = (100%/Useful life of asset) x 2 Why is depreciation due diligence important? Depreciation can be used to manipulate the financials of the company. Overstating and understating depreciation charges directly impacts the profit of the company. When a firm is charging less depreciation than required, it would directly increase the profits of the firm.  When depreciation expense is lesser than the actual expense, the income statement will record lower amount of expenses, therefore the deductions from revenue will lesser and profits will increase.  Investors also assess whether the useful life of asset used in calculating the depreciation of firm is appropriate or not. The companies should use an appropriate useful life of the asset. When the useful life of the asset is increased, the depreciation charges will spread across an increased number of years.  As a result, the depreciation expenses during the life of an asset would be understated since the actual life of an asset is less than recorded. Investors prefer checking the number of years used as the useful life of an asset.  Sometimes firms may choose to change the method of depreciation. Although it could be appropriate when actual business conditions don’t match the method adopted, there remains a possibility that the decision to change the method could be driven by the motive to manipulate depreciation expenses.  Companies may seek to keep the assets in the balance sheet even though the asset is of no use. This will help the company to keep incurring depreciation expense on the income statement and reduce the tax liability of the business.  When the value of assets of the company has appreciated in light of the market environment, the balance sheet value of the asset will also increase. When the balance sheet value of an asset is increased, the depreciation charges should also increase. Therefore, appreciation in the value of an asset should also increase depreciation expense for the company. 

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