Abstract
Due to the globalization and computerization of financial and economic activities, numerous repetitive leveraged investments have become possible in stock markets and currency exchanges. In reality, repeated leveraged investments up to 100 times/day are possible via online access. With computeraided programs, this repetition number may easily increase 1000 times/day. The possibility of bankruptcy in repeated leveraged investments has never been considered in actual practices because the probability of bankruptcy in a single investment trial is almost negligible. Here, we show that the extremely numerous repetitions have a considerable chance of bankruptcy overall, even if the probability of bankruptcy for a single investment is extremely close to zero. The exact relationship between the repetitions and the probability of bankruptcy is approximated well by n(0.63) = m, where 10^{n} is the number of repetitions, 10^{−m} is the bankruptcy probability of a single investment, and n(0.63) is the 63% chance of bankruptcy. Thus, extremely rare events can always lead to bankruptcy in continuously repeated investment, even if the possibility of such an event is almost null. We suggest that the avoidance measure of bankruptcy is necessary in numerous repeated investments even if a single trial is almost certain to win.
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Introduction
Recent globalization has had a great impact on economic and financial activities in human society^{1,2,3,4,5,6,7,8,9,10,11}. Until the 1980s, economic activities were mostly limited within regions, such as North America, Europe, and East Asia. Most personal investment activities were further limited to a single country because currency exchanges were also limited by high transaction fees^{4,7,8,12,13}. Similarly, personal investments in stock markets were also highly limited due to high transaction fees for purchases and sales^{1,7,13,14,15}. In the 1980s, these fixed transaction fees were lowered to almost negligible, and the transaction fees became mostly the quantitybased charge for frequent repeated investors^{4,7,12,13}. These repeated investments are leveraged tentwenty times larger than the transaction deposit. Thus the actual amount of investments (not the transaction deposit) may become larger than the total wealth of an investor. Therefore, the failure of an investment may cause bankruptcy because its debt may be larger than the whole wealth of the investor, although this probability is very small. Many financial funds (companies specializing in investment activities) had been established with the globalization of world economics since the 1980s^{1,4,14}. The historical accounts and negative effects due to the changes in regulations are widely recognized in economics and business [for example, see^{1,3,5,16,17,18,19,20,21}]. Thus, the basis of extremely numerous repeated investments with leverage became practical.
The recent developments in computer technology have had considerable impacts on the international economy^{1,6}. The establishment of international computer networks had been introduced into stock markets and currency change. Together with globalization, the technical developments of computers and the establishment of international computer networks have induced important changes in economic and financial activities. Now, anybody can access any stock market or currency exchange by computer and make a transaction instantly from a distance, thus investment activities around the world being drastically increased.
Another facet of computerization is that stock market and currency exchange transactions can be completely automated by computer programing^{14,22,23}. This automated investment makes it possible to repeat investments in a second interval. It is possible to make 60 transactions in a minute if the program simply states investments repeatedly. In practice, the program makes the investment decision (to send a transaction) when the price of a stock satisfies the condition set by the program. The total repetitions/hour may be ten or less. If the market is open for 10 hours, then the repeated investment occurs 100 times/day or 25,000 times/year. The maximum possible number of repetitions in investments is extremely high because of computerized investment. Established securities companies have shifted to adopt this computerized investment environment by hiring many specialist traders^{24,25}. Many new investment funds or securities companies have also been established recently to specialize in this computerized global investment activity, e.g., longterm capital management (LTCM)^{2,15,21}. The local operatorassisted environments of financial investments have thus shifted into the global computerized systems^{1}.
In this paper, we consider a simple but forgotten feature of repeated investments. This aspect is mathematically trivial but has very profound effects on the investment strategy, once adopted. Traditionally, because the probability of bankruptcy for a onetime investment is nearly equal to zero, this onetime bankruptcy probability is usually treated as zero in current investment strategies. We here assume that this probability is very close to zero but not zero (a positive real number). We derive the mathematical relationship between the number of repetitions and overall bankruptcy in investments. We discuss the impact of this neglected aspect of repeated investments.
Model and Results
In this repeated investment model, we suppose the situation in which the debts caused by leveraged investment may exceed the current wealth of the investor. The actual investments, e.g., FX investment, become at least ten to twenty times of transaction deposit by leverage and often easily surpass the whole asset (wealth)^{26,27}, see also^{28,29,30}. Assuming the number of repetitions of investment is N, the present wealth after N investments w_{N} is a function of the initial wealth w_{0} and the multiplicative growth rate f_{i} for i = 0, 1, …, (N − 1), such that \({w}_{N}={w}_{0}{f}_{0}{f}_{1}\ldots {f}_{(N1)}\). Note that f_{i} is independent and random. We consider the case of f_{i} = 0, i.e., \({w}_{i+1}={w}_{i+2}=\ldots ={w}_{N}=0\). This means bankruptcy at the ith investment. Let this probability be p_{b}. In the presence of leveraged mechanisms, this value (p_{b}) may be significantly small but still a positive number. Then, the total probability of bankruptcy with Ntimes repeated investments P_{B} is given by
By transforming Eq. (1), we obtain (Fig. 1):
Figure 1 shows that the overall probability of bankruptcy always converges to unity. It also shows that for a given p_{b,} there is a threshold of repetition N, where P_{B} reaches 0.99 or any given probability (Fig. 1). Expressing p_{b} = 10^{−m} and N = 10^{n}, we obtain (Fig. 2):
Because p_{b} = ^{−m} is close to zero, m≫1. Using the first term of Taylor expansion, we can approximate \(\log (1{p}_{b})=\,\log (1{10}^{m})\cong {10}^{m}\). We obtain
Therefore, we can express (Fig. 2):
where \(\alpha ({P}_{B})={\log }_{10}(\log \,\frac{1}{(1{P}_{B})})\) is a measure of bankruptcy in repeated investments with leverage. For example, when P_{B} = 0.99, α = 0.66 (Fig. 2). Furthermore, Eq. (4) is approximated well by a linear relation (Fig. 2):
Therefore, we can obtain the following inequality:
Thus, when the onetime risk of bankruptcy is p_{b} = 10^{−m}, we almost certainly face bankruptcy by repeating N = 10^{m+1} times. In precise, this repetition is approximately 99.995% bankruptcy.
In the case where the probability of bankruptcy, p_{bi}, depends on each investment i, the total probability P_{B} is given by
Neglecting the second order terms in p_{bi}, we obtain
where
is the average of p_{bi}. Therefore, this case is essentially the same as the above, except that p_{b} is replaced with \(\overline{{p}_{b}}\). It is important to remark that p_{b} or \(\overline{{p}_{b}}\) is very tiny but a positive number.
Discussion
The current results indicate two important findings. First, any extremely small risk of bankruptcy can be accumulated to almost certainty (probability one) under repeated investments. Second, the number of repetitions leading to bankruptcy (N or n) is almost determined by the tiny probability of bankruptcy at each investment (p_{b} or m). For example, if the risk of bankruptcy is 10^{−m} (m is large), 10^{m+1} repetition almost certainly leads to bankruptcy (ca. 99.995%), and even 10^{m} repetitions have more than 50% bankruptcy (ca. 63.21%). This quantitative measure of bankruptcy α implies that computerized (programmed) repeated investment is a purely risky gamble, rather than a safe investment, even if a single trial is almost certain to win.
Globalization and computerization have made the current stock market and currency exchange systems qualitatively different from those of the 1970s or earlier. Traditionally, transactions (trading actions) in the stock market were made for longterm investment. Currency exchange was mostly for payments in international trading or international travellers. The fees for each transaction in these systems were a fixed constant that was so high, it was impossible to earn positive gains from a single shortterm investment. After internet access to these trade systems became available, transaction fees lowered and varied depending on the amount of payments, so shortterm repeated investments were able to earn positive gains. Then, traders had come to earn positive benefits from the repetition of shortterm investments; while the onetime benefits were very small, numerous repetitions resulted in a large accumulated sum. Thus, the investment systems had moved from seeking large profits with slow returns to small profits with quick returns (SPQR) for both traders and securities companies receiving transaction fees.
The current market systems (both stock market and currency exchange) are occupied almost entirely by shortterm investments with leverage. In stock markets, 95% or more buyandsell transactions are such estimated shortterm investments, and traditional longterm investments are extremely rare, even though a large percentage of stocks are owned by longterm investors (e.g., parent companies and founder families) in superior enterprises. The situation for currency exchanges is similar to that for stock markets. Most transactions in currency exchanges are FX and other forms of shortterm repeated investments with leverage (estimated to 95% or more, refs^{22,23,24}). Payments for international trading and travellers, the primary purpose of currency exchanges, represent a very small portion of transactions in currency exchanges. Historically, the exchange rates of currencies were fixed (e.g., 360 yen/dollar) before 1973. Because of the 1973 oil crisis (the Nixon Doctrine), currency exchange moved from fixed rates to floating exchange rates^{5}. At that time, a single transaction fee was fixed at a high rate, and it was impossible to earn profits by buysell repetitions in a short period. However, along with the development of computerized internet access, single transaction fees were adjusted so that FX and other repeated investments with leverage could produce benefits through numerous buysell actions using computer programs.
We should also note that globalization leads to the neutralization of the riskspreading strategy^{23,24}. In the previous decades, investment in many different companies was a very good portfolio strategy to avoid the risk of bankruptcy. Here, risk spreading works well with spreading (diversifying) the investment targets; this approach is the basic concept of portfolio selection developed by Harry Markowitz^{1,31}. Due to economic globalization, all market movements or trends are highly correlated with each other. If one market is down, many others follow it. Thus, this high correlation between markets and companies makes risk spreading in leveraged repeated investments extremely difficult. Therefore, we need a new measure of bankruptcy avoidance for current repeated investments.
Data Availability
No data are involved in this report.
References
Hull, J. C. & Basu, S. Options, Futures, and Other Derivatives, 10th Edition. (Pearson, 2018).
Kays, B. J., Mukherjee, T., Seru, A. & Vig, V. Did securitization lead to lax screening? Evidence from subprime loans. Quarterly Journal of Economics 125, 307–362 (2010).
Strange, S. Casino Capitalism. (Manchester University Press, UK, 1987, new edition 2015).
Guillermo, A. C. & Reinhart, C. M. Fear of Floating. The Quarterly Journal of Economics 117, 379–408 (2002).
Strange, S. Mad Money (Manchester University Press, UK, 1998).
Bordo, M. D. & Flandreau, M. Core, Periphery, Exchange Rate Regimes, and Globalization. pp. 417–472 in: Bordo, M. D., Taylor, A. M. & Williamson, J. G., editors, NBER book Globalization in Historical Perspective (University of Chicago Press, 2003).
International Monetary Fund (IMF), 1997. World Economic Outlook, October. https://www.imf.org/external/pubs/ft/weo/weo1097/weocon97.htm access date:04/26/2019.
Caves, D. & Feige, E. Efficient Foreign Exchange Markets and the Monetary Approach to ExchangeRate Determination. The American Economic Review 70, 120–134 (1980).
Bohl, M. T., Michaelis, P. & Siklos, P. L. Austerity and recovery: Exchange rate regime choice, economic growth, and financial crises. Economic Modelling 53, 195–207 (2016).
Haichun, Y. & Lin, S. The Role of Financial Development in Exchange Rate Regime Choice. Journal of International Money and Finance. 30, 641–659 (2011).
Slavtcheva, D. Financial development, exchange rate regimes and productivity growth: Theory and evidence. Journal of Macroeconomics 44, 109–123 (2015).
LevyYeyati, E. & Sturzenegger, F. Classifying exchange rate regimes: Deeds vs. words. European Economic Review 49, 1603–1635 (2005).
Baxter, M. & Stockman, A. C. Business cycles and the exchangerate regime: Some international evidence. Journal of Monetary Economics 23, 377–400 (1989).
Jorion, P. On Jump Processes in the Foreign Exchange and Stock Markets. The Review of Financial Studies 1, 427–445 (1998).
Fornaro, L. Financial crises and exchange rate policy. Journal of International Economics 95, 202–215 (2015).
Nocera, J. A Piece of the Action (Simon & Schuster, New York, 1994).
Thurow, L. C. The Future of Capitalism (William Morrow & Co, New York, 1996).
Krugman, P. The Age of Diminished Expectations, 3rd ed. (The MIT Press, Cambridge, MA., 1997).
Evans, P., Wurster, T. S. Blown to Bits (Harvard Business School Press, Cambridge, MA. 1999).
Stiglitz, J. E. Freefall (Norton, New York, 2010).
Dunbar N. Investing Money: the story of Longterm Capital Management and the legends behind it (Wiley, New York, 2000).
Kumiega, A. & Van Vliet, B. E. Automated Finance: The Assumptions and Behavioral Aspects of Algorithmic Trading. Journal of Behavioral Finance 13, 51–55 (2012).
CaZorzi, M., Kolasa, M. & Rubaszek, M. Exchange rate forecasting with DSGE models. Journal of International Economics 107, 127–146 (2017).
Hodrick, R. The Empirical Evidence on the Efficiency of Forward and Futures Foreign Exchange Markets. (London: Routledge, 1987).
Taylor, M. P. & Sarno, L. Official Intervention in the Foreign Exchange Market: Is it Effective, and, If so, How Does it Work? CEPR Discussion Paper No. 2690 Available at SSRN: https://ssrn.com/abstract=261856 (2001).
Yoshimura, J., Ito, H., Miller, D. G. III & Tainaka, K. Dynamic decisionmaking in uncertain environments I. The principle of dynamic utility. Journal of Ethology 31, 101–105 (2013).
Yoshimura, J., Ito, H., Miller, D. G. III & Tainaka, K. Dynamic decisionmaking in uncertain environments II. Allais paradox in human behavior. Journal of Ethology 31, 107–113 (2013).
Lewontin, R. C. & Cohen, D. On Population Growth In A Randomly Varying Environment. Proceedings of the National Academy of Sciences 62, 1056–1060 (1969).
Yoshimura, J. & Clark, C. W. Individual adaptations in stochastic environments. Evolutionary Ecology 5, 173–192 (1991).
Yoshimura, J., Tanaka, Y., Togashi, T., Iwata, S. & Tainaka, K. Mathematical equivalence of geometric mean fitness with probabilistic optimization under environmental uncertainty. Ecological Modelling 220, 2611–2617 (2009).
Markowitz, H. M. Portfolio Selection: Efficient Diversification of Investments (John Wiley & Sons, New York 1959).
Acknowledgements
This work was partly supported by the Japan Society for the Promotion of Science (JSPS) KAKENHI (nos 17J06741 and 17H04731 to H.I., 18K03453 to S.M., 15H04420 and 26257405 to J.Y.).
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M.N., T.O., J.Y. conceived the study and developed the model. T.O. and S.M. contributed mathematical analysis. H.I. and Y.Y. provided the interpretation of the result. M.N., T.O., J.Y. wrote the manuscript. All authors participate in its revision.
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Nii, M., Okabe, T., Ito, H. et al. Bankruptcy is an inevitable fate of repeated investments with leverage. Sci Rep 9, 13745 (2019). https://doi.org/10.1038/s41598019502376
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DOI: https://doi.org/10.1038/s41598019502376
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