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2018 | OriginalPaper | Buchkapitel

1. Introduction

verfasst von : Michael I. C. Nwogugu

Erschienen in: Indices, Index Funds And ETFs

Verlag: Palgrave Macmillan UK

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Abstract

Indices, index funds and exchange-traded funds (ETFs) have become major asset classes in debt, equity, real estate, currency and commodity markets worldwide—and their management, maintenance and use often occurs within the context of human–computer interactions (HCI). As of 2018, there were more indices in the world than the number of exchange-traded companies. The relatively sudden and significant growth of indices, passive/active ETFs and index funds during 1995–2018 (combined with the Internet, increasing volume of cross-border transactions, and improved global settlement/clearing systems) have increased the potential for systemic risk, financial instability and the failure of regulations. The major problem is that more than US$3.5 trillion is invested in indices through ETFs, index funds and equity swaps apparently without regard to the quality and valuation of the underlying companies and commodities. The net effects are that: (i) the companies and commodities in these indices are overvalued and enjoy artificial price support (from these ETFs and index funds); (ii) there is substantial over-investment and “Gambling” in the underlying companies and under-investment in non-listed, micro-cap, small-cap and emerging markets companies, which affects economic growth, development and capital mobility; and (iii) these indices, index funds and ETF and their component companies pose increasing systemic risk and financial instability threats.

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Fußnoten
1
See: Authers, J. (January 22, 2018). “Number Of Stock Indices At 3 Million Dwarfs Tally Of Quoted Companies—Proliferation Reflects Investor Focus On ‘Top-Down’ Analysis Of Markets”. Financial Times (UK). https://​www.​ft.​com/​content/​9ad80998-fed5-11e7-9650-9c0ad2d7c5b5. According to a survey by the 14-member Index Industry Association, its members publish and calculate 3.28 million indices, of which 3.14 million are for stock markets, but the World Bank notes that there are only 43,192 public companies around the world, and ETFGI notes that there are only about 7,178 ETFs and other exchange-traded products globally. The breakdown of global equity indices is as follows: sector/industry (42.5%), total market cap (14.8%), small cap (13.6%), large cap (10.8%), mid-cap (10.7%), factor/Beta (5.6%), theme/other (1.5%), and environmental/social/governance (0.3%). Geographically, the 2018 statics are: global indices (29%), frontier and emerging markets (14%), and the US (9%).
 
2
See: Chaparro, F. (March 18, 2017). “There could be a US$3 trillion shift in investing, and it poses a huge problem for mutual funds”. http://​pulse.​ng/​bi/​finance/​finance-there-could-be-a-3-trillion-shift-in-investing-and-it-poses-a-huge-problem-for-mutual-funds-id6390294.​html. This article states that:
(i)
According to a March 2017 report by Morgan Stanley and Oliver Wyman, ETFs could gain an additional US$2 trillion to US$3 trillion in assets during 2017–2022.
 
(ii)
ETFs are deemed to be typically cheaper and more transparent than Mutual Funds, and Mutual Funds have struggled to achieve performance in recent years (in most instances, disclosed calculated fees don’t include non-disclosed “costs” such as re-balancing costs, monitoring costs of both ETF-managers and investors, and ETF-arbitrage costs). Investors moved money from Mutual Funds and into ETFs during 2014–2017 and that has forced Mutual Funds to reduce their fees. ETFs’ market share in the US market alone is likely to increase from 15% to 40–60% during 2017–2027. According to the Morgan Stanley and Oliver Wyman 2017 report, Mutual Funds are now using ETFs to reduce their own costs; and “Asset allocators such as Outsourced Chief Investment Officers (OCIO) and Wealth Managers will account for a large proportion of this incremental demand as they increasingly use ETFs at near zero cost to source Beta exposure, allowing them to focus their resources on high conviction managers or more complex alternative investments. However, looking beyond 2019, the emerging use of passive vehicles as an integral part of an active fund management strategy will be arguably the more significant dynamic. Currently, Mutual Funds have ~$0.5 trillion invested in ETFs, much of which is used for liquidity management. We estimate using ETFs rather than the traditional approach of holding individual stocks offers a cost advantage of 5–8 bps in large and mid-cap equities. As Asset Managers search for ways to deliver performance at lower costs, this may mean that mutual funds will find themselves among the largest investors in ETFs…”.
 
(iii)
According to Credit Suisse, the reduction of fees in the mutual fund industry will likely continue. Morgan Stanley estimates that fees charged by active managers could decrease by more than 33% in 2017.
 
 
3
On systemic risk/contagion, see: Bahmani-Oskooee and Saha (2016), Naresh et al. (2017), Aloui et al. (2017), Yarovaya et al. (2016), Goswami et al. (2012), Gajardo and Kristjanpoller (2017), Keylock (2018), Kristoufek (2010), Bhuiyan et al. (2017), Ahmad et al. (2018), Zhou and Chen (2016), Curcio et al. (2014), Bhattacharya and O’Hara (2016), Bouri et al. (2017), and Puy (2016).
 
4
On financial instability, see: Al-Khazali and Mirzaei (2017), Financial Stability Board (2011), U.S. Senate (October 2011), Kosev and Williams (2011), Ivanov and Lenkey (2014), Aldridge (2014, 2016), Linnertova (2015), Chen and Li (2014), Wang et al. (2016), Lobão and Pereira (2017), Charles et al. (2017), Prasanna and Menon (2013), Stošić et al. (2015), Ferreira et al. (2018), Gil-Alana et al. (2013), Rizvi and Arshad (2017), Ahmad et al. (2018), Abu-Alkheil et al. (2017), Singh et al. (2018), Donders et al. (2017), Nagayev et al. (2016), Chacko et al. (2016), Xu and Yin (2017), Chiu and Tsai (2017), Marszk and Lechman (2018), Dannhauser (2017), Lechman and Marszk (2015), and Deev and Linnertová (2014).
 
5
See: Duarte et al. (2010), Chen et al. (2017), Lee et al. (2017), Tsionas and Michaelides (2017), Bonanno et al. (2004), Harré and Bossomaier (2009), Kenett et al. (2012), Sornette (2003), and Keylock (2018).
 
6
See: Ozer and Ertokatli (2010), Sasikumar and Kamaiah (2014), Aldridge (2016), Broman (2016), Kaiser et al. (2018), Badshah et al. (2018), Wisniewski (2016), Jouini (2013), Abu-Alkheil et al. (2017), Vortelinos et al. (2018), Christou et al. (2017), Li et al. (2016), Li and Peng (2017), Ho and Huang (2015), Tang and Xu (2013), and Abhyankar et al. (1997).
 
7
See: Chen et al. (2010), Oztekin et al. (2016), Schellhorn (2011), Wang et al. (2012), Feuerriegel and Gordon (2018), and Chiang et al. (2016).
 
8
See: Avellaneda and Zhang (2010), Preis et al. (2011), and Lahmiri (2018).
 
9
See: White (2007), and Levell (2015).
 
10
See: Malagrino et al. (2018), Chen and Hao (2017), Cao et al. (2013), Anbalagan and Maheswari (2015), Ng et al. (2014), Arnoldi (2016), Shahzad et al. (2018), Chen et al. (2010), Nwogugu (2013), Martyn et al. (2012), Steel et al. (2007), Jacob et al. (2013), Cheng et al. (2010), Lee et al. (2006), Yu and Huarng (2008, 2010), and Roy and Sarkar (2011).
 
11
See: Wang et al. (2016), Reigneron et al. (2011), Nobi et al. (2014), Shi et al. (2016), Gong et al. (2016), Sandoval (2014), Shapira et al. (2009), Haluszczynski et al. (2017), Kwon and Yang (2008), and Gao et al. (2018).
 
12
See the AI and decision models in Castro and Parsons (2014), Domshlak et al. (2011), Grishina et al. (2017), Nadendla et al. (Oct. 2016), Song et al. (2017), Rekik et al. (2014), Correia et al., eds. (2014), and Marwala (2013).
 
13
Moore, S. (Aug 29, 2014). How Securities Lending Makes Some ETFs Free. https://​www.​forbes.​com/​sites/​simonmoore/​2014/​08/​29/​securities-lending-makes-some-etfs-free/​#66fd4f673d6f. This article stated in part: “The amount of securities lending profits that ETF sponsors pass onto ETF investors varies, but appears to be increasing. Blackrock was the subject of a lawsuit contesting their return of securities lending fees to investors, that case was dismissed last year. As of the start of this year Blackrock (the owner of iShares) returns 70%–75% of securities lending revenue to investors. Vanguard returns 100% of securities lending proceeds to investors after their costs. As Dave Nadig of ETF.com argues the difference isn’t just in the revenue/profit split which is calculated in a slightly different way by the different firms, it’s also in the policies for lending, Blackrock appears to lend more broadly, hence increasing potential lending returns, but also raising the risk level slightly, whereas Vanguard may be more selective in identifying lending opportunities with greater profitability.”
See: Blocher and Whaley (May 2016).
 
14
See: Christie and Schultz (1994), Khwaja and Mian (2005), Jiang et al. (2013), Aggarwal and Wu (2003), Lin (2017), Allen et al. (2006), and The Economist (Jan. 15, 1998).
 
15
See: Arnoldi (2016), Lee et al. (2013), Lin (2017), Cao et al. (2016), and Jiang et al. (2013).
 
16
See: Brennan, T. (Jan 26, 2011). Cramer: Case-Schiller Not a Good Index for Housing. CNBC. http://​www.​cnbc.​com/​id/​41274473. This article stated in part: “The Case-Shiller index measures only 20 U.S. markets. It’s nowhere near as representative as people make it out to be. Cramer thinks the Federal Housing Finance Agency’s index is far better. Its numbers are calculated by ZIP code, using the purchase prices of houses that back mortgages that have been sold to, or guaranteed by Fannie Mae or Freddie Mac. As Cramer said, ‘It’s a super-granular housing report based on a much larger data set than the 20 cities of the Case-Shiller.’ And what did the FHFA index say about home prices just yesterday? That they were unchanged from October to November on a seasonally adjusted basis… .The bottom line here is that investors should forget the negative press reports and the Case-Shiller index, and focus instead on the FHFA, the NAR and even the housing stocks for an accurate picture of what’s going on.”
See Ro, S. (March 29, 2012). S&P: We Know The Case-Shiller Home Price Index Has Problems But There’s Nothing We Can Do About It. http://​www.​businessinsider.​com/​sp-blitzer-case-shiller-home-price-index-2012-3
 
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Zurück zum Zitat Cremers, M., & Petajisto, A. (2009). How active is your fund manager? A new measure that predicts performance. Review of Financial Studies, 22(9), 3329–3365. Cremers, M., & Petajisto, A. (2009). How active is your fund manager? A new measure that predicts performance. Review of Financial Studies, 22(9), 3329–3365.
Zurück zum Zitat Curcio, R. J., Anderson, R. I., Guirguis, H., & Boney, V. (2012). Have leveraged and traditional ETFs impacted the volatility of real estate stock prices? Applied Financial Economics, 22(9), 709–722. Curcio, R. J., Anderson, R. I., Guirguis, H., & Boney, V. (2012). Have leveraged and traditional ETFs impacted the volatility of real estate stock prices? Applied Financial Economics, 22(9), 709–722.
Zurück zum Zitat Curcio, R., Anderson, R., & Guirguis, H. (2014). Stock price volatility of banks and other financials emanating from the inception of leveraged, inverse, and traditional ETFs. The Journal of Index Investing, 5(1), 12–31. Curcio, R., Anderson, R., & Guirguis, H. (2014). Stock price volatility of banks and other financials emanating from the inception of leveraged, inverse, and traditional ETFs. The Journal of Index Investing, 5(1), 12–31.
Zurück zum Zitat Da, Z., & Shive, S. (2016, March). Exchange traded funds and asset return correlations (Working paper). University of Notre Dame. Da, Z., & Shive, S. (2016, March). Exchange traded funds and asset return correlations (Working paper). University of Notre Dame.
Zurück zum Zitat Dai, M., Hou, J., et al. (2016). Mixed multifractal analysis of China and US stock index series. Chaos, Solitons & Fractals, 87, 268–275. Dai, M., Hou, J., et al. (2016). Mixed multifractal analysis of China and US stock index series. Chaos, Solitons & Fractals, 87, 268–275.
Zurück zum Zitat Dannhauser, C. (2017). The impact of innovation: Evidence from corporate bond exchange-traded funds (ETFs). Journal of Financial Economics, 125(3), 537–560. Dannhauser, C. (2017). The impact of innovation: Evidence from corporate bond exchange-traded funds (ETFs). Journal of Financial Economics, 125(3), 537–560.
Zurück zum Zitat Deev, O., & Linnertová, D. (2014). The determinants of ETFs short selling activity. Procedia – Social and Behavioral Sciences, 109, 669–673. Deev, O., & Linnertová, D. (2014). The determinants of ETFs short selling activity. Procedia – Social and Behavioral Sciences, 109, 669–673.
Zurück zum Zitat Diamond, S., & Kuan, J. (2018). Are the stock markets “rigged”? An empirical analysis of regulatory change. International Review of Law and Economics, 55, 33–40. Diamond, S., & Kuan, J. (2018). Are the stock markets “rigged”? An empirical analysis of regulatory change. International Review of Law and Economics, 55, 33–40.
Zurück zum Zitat Domshlak, C., Hullermeier, E., Kaci, S., & Prade, H. (2011). Preferences in AI: An overview. Artificial Intelligence, 17(7–8), 1037–1052. Domshlak, C., Hullermeier, E., Kaci, S., & Prade, H. (2011). Preferences in AI: An overview. Artificial Intelligence, 17(7–8), 1037–1052.
Zurück zum Zitat Donders, P., Jara, M., & Wagner, R. (2017). How sensitive is corporate debt to swings in commodity prices? Journal of Financial Stability, in press. Donders, P., Jara, M., & Wagner, R. (2017). How sensitive is corporate debt to swings in commodity prices? Journal of Financial Stability, in press.
Zurück zum Zitat Duarte, F., Tenreiro, J., et al. (2010). Dynamics of the Dow Jones and the NASDAQ stock indexes. Nonlinear Dynamics, 61(4), 691–705. Duarte, F., Tenreiro, J., et al. (2010). Dynamics of the Dow Jones and the NASDAQ stock indexes. Nonlinear Dynamics, 61(4), 691–705.
Zurück zum Zitat Fernandez, V. (2014). Linear and non-linear causality between price indices and commodity prices. Resources Policy, 41, 40–51. Fernandez, V. (2014). Linear and non-linear causality between price indices and commodity prices. Resources Policy, 41, 40–51.
Zurück zum Zitat Ferreira, P., Dionísio, A., et al. (2018). Non-linear dependencies in African stock markets: Was subprime crisis an important factor? Physica A: Statistical Mechanics and Its Applications, 505, 680–687. Ferreira, P., Dionísio, A., et al. (2018). Non-linear dependencies in African stock markets: Was subprime crisis an important factor? Physica A: Statistical Mechanics and Its Applications, 505, 680–687.
Zurück zum Zitat Feuerriegel, S., & Gordon, J. (2018). Long-term stock index forecasting based on text mining of regulatory disclosures. Decision Support Systems, 112, 88–97. Feuerriegel, S., & Gordon, J. (2018). Long-term stock index forecasting based on text mining of regulatory disclosures. Decision Support Systems, 112, 88–97.
Zurück zum Zitat Financial Stability Board. (2011). Potential financial stability issues arising from recent trends in Exchange-Traded Funds (ETFs). Financial Stability Board Note, Financial Stability Board. Financial Stability Board. (2011). Potential financial stability issues arising from recent trends in Exchange-Traded Funds (ETFs). Financial Stability Board Note, Financial Stability Board.
Zurück zum Zitat Fink, M. (2011). The rise of mutual funds: An insider’s view (2nd ed.). Oxford: Oxford University Press. Fink, M. (2011). The rise of mutual funds: An insider’s view (2nd ed.). Oxford: Oxford University Press.
Zurück zum Zitat Frino, A., Gallagher, D., & Oetomo, T. (2005). The index tracking strategies of passive and enhanced index equity funds. Australian Journal of Management, 30, 23–55. Frino, A., Gallagher, D., & Oetomo, T. (2005). The index tracking strategies of passive and enhanced index equity funds. Australian Journal of Management, 30, 23–55.
Zurück zum Zitat Gadzinski, G., Schuller, M., & Vacchino, A. (2018). The Global Capital Stock: Finding a Proxy for the Unobservable Global Market Portfolio. Journal of Portfolio Management, 44(7), 12–23. Gadzinski, G., Schuller, M., & Vacchino, A. (2018). The Global Capital Stock: Finding a Proxy for the Unobservable Global Market Portfolio. Journal of Portfolio Management, 44(7), 12–23.
Zurück zum Zitat Gajardo, G., & Kristjanpoller, W. (2017). Asymmetric multifractal cross-correlations and time varying features between Latin-American stock market indices and crude oil market. Chaos, Solitons & Fractals, 104, 121–128. Gajardo, G., & Kristjanpoller, W. (2017). Asymmetric multifractal cross-correlations and time varying features between Latin-American stock market indices and crude oil market. Chaos, Solitons & Fractals, 104, 121–128.
Zurück zum Zitat Gallagher, D. R., Harman, G., et al. (2016). Global equity fund performance: An attribution approach. Financial Analysts Journal, 73(1), 56–71. Gallagher, D. R., Harman, G., et al. (2016). Global equity fund performance: An attribution approach. Financial Analysts Journal, 73(1), 56–71.
Zurück zum Zitat Gao, H., Li, J., et al. (2018). The synchronicity between the stock and the stock index via information in market. Physica A: Statistical Mechanics and Its Applications, 492, 1382–1388. Gao, H., Li, J., et al. (2018). The synchronicity between the stock and the stock index via information in market. Physica A: Statistical Mechanics and Its Applications, 492, 1382–1388.
Zurück zum Zitat Gelos, G. (2013). International mutual funds, capital flow volatility, and contagion – A Survey (IMF working paper 11/92). Washington, DC: International Monetary Fund. Gelos, G. (2013). International mutual funds, capital flow volatility, and contagion – A Survey (IMF working paper 11/92). Washington, DC: International Monetary Fund.
Zurück zum Zitat Gil-Alana, L., Cunado, J., & Gracia, F. (2013). Salient features of dependence in daily US stock market indices. Physica A: Statistical Mechanics and Its Applications, 392(15), 3198–3212. Gil-Alana, L., Cunado, J., & Gracia, F. (2013). Salient features of dependence in daily US stock market indices. Physica A: Statistical Mechanics and Its Applications, 392(15), 3198–3212.
Zurück zum Zitat Gleason, K., Mathur, I., & Peterson, M. (2004). Analysis of intraday herding behavior among the sector ETFs. Journal of Empirical Finance, 11, 681–694. Gleason, K., Mathur, I., & Peterson, M. (2004). Analysis of intraday herding behavior among the sector ETFs. Journal of Empirical Finance, 11, 681–694.
Zurück zum Zitat Goltz, F., Martellini, L., & Vaissié, M. (2007). Hedge fund indices: Reconciling investability and representativity. European Financial Management, 13(2), 257–286. Goltz, F., Martellini, L., & Vaissié, M. (2007). Hedge fund indices: Reconciling investability and representativity. European Financial Management, 13(2), 257–286.
Zurück zum Zitat Gong, C., Ji, S., et al. (2016). The lead–lag relationship between stock index and stock index futures: A thermal optimal path method. Physica A: Statistical Mechanics and Its Applications, 444, 63–72. Gong, C., Ji, S., et al. (2016). The lead–lag relationship between stock index and stock index futures: A thermal optimal path method. Physica A: Statistical Mechanics and Its Applications, 444, 63–72.
Zurück zum Zitat Goswami, B., Ambika, G., Marwan, N., & Kurths, J. (2012). On interrelations of recurrences and connectivity trends between stock indices. Physica A: Statistical Mechanics and Its Applications, 391(18), 4364–4376. Goswami, B., Ambika, G., Marwan, N., & Kurths, J. (2012). On interrelations of recurrences and connectivity trends between stock indices. Physica A: Statistical Mechanics and Its Applications, 391(18), 4364–4376.
Zurück zum Zitat Grishina, N., Lucas, C., & Date, P. (2017). Prospect theory-based portfolio optimization: An empirical study and analysis using intelligent algorithms. Quantitative Finance, 17(3), 353–367. Grishina, N., Lucas, C., & Date, P. (2017). Prospect theory-based portfolio optimization: An empirical study and analysis using intelligent algorithms. Quantitative Finance, 17(3), 353–367.
Zurück zum Zitat Gündüz, G., & Gündüz, Y. (2010). Viscoelastic behavior of stock indices. Physica A: Statistical Mechanics and Its Applications, 389(24), 5776–5784. Gündüz, G., & Gündüz, Y. (2010). Viscoelastic behavior of stock indices. Physica A: Statistical Mechanics and Its Applications, 389(24), 5776–5784.
Zurück zum Zitat Guojonsdottir, G., Kristjansson, M., & Olafsson, O. (2011). Immediate surge in female visits to the cardiac emergency department following the economic collapse in Iceland: An observational study. Emergency Medicine Journal, 29(9), 694. Guojonsdottir, G., Kristjansson, M., & Olafsson, O. (2011). Immediate surge in female visits to the cardiac emergency department following the economic collapse in Iceland: An observational study. Emergency Medicine Journal, 29(9), 694.
Zurück zum Zitat Haizhen, Y., & Suxiao, L. (2017). Dynamic interactions between real exchange rate and international fund flows in China. African Journal of Business Management, 11(5), 94–101. Haizhen, Y., & Suxiao, L. (2017). Dynamic interactions between real exchange rate and international fund flows in China. African Journal of Business Management, 11(5), 94–101.
Zurück zum Zitat Halkos, G., & Papadamou, S. (2006). An investigation of bond term premia in international government bond indices. Research in International Business and Finance, 20(1), 45–61. Halkos, G., & Papadamou, S. (2006). An investigation of bond term premia in international government bond indices. Research in International Business and Finance, 20(1), 45–61.
Zurück zum Zitat Haluszczynski, A., Laut, I., et al. (2017). Linear and nonlinear market correlations: Characterizing financial crises and portfolio optimization. Physics Review E, 96, 062315. Haluszczynski, A., Laut, I., et al. (2017). Linear and nonlinear market correlations: Characterizing financial crises and portfolio optimization. Physics Review E, 96, 062315.
Zurück zum Zitat Harré, M., & Bossomaier, T. (2009). Phase-transition–like behaviour of information measures in financial markets. Europhysics Letters, 87(1), 18009. Harré, M., & Bossomaier, T. (2009). Phase-transition–like behaviour of information measures in financial markets. Europhysics Letters, 87(1), 18009.
Zurück zum Zitat Hilliard, J. (2014). Premiums and discounts in ETFs: An analysis of the arbitrage mechanism in domestic and international funds. Global Finance Journal, 25(2), 90–107. Hilliard, J. (2014). Premiums and discounts in ETFs: An analysis of the arbitrage mechanism in domestic and international funds. Global Finance Journal, 25(2), 90–107.
Zurück zum Zitat Ho, L., & Huang, C. (2015). The nonlinear relationships between stock indexes and exchange rates. Japan and the World Economy, 33, 20–27. Ho, L., & Huang, C. (2015). The nonlinear relationships between stock indexes and exchange rates. Japan and the World Economy, 33, 20–27.
Zurück zum Zitat Hongfei, T., & Xu, X. E. (2013). On the tracking performance and return deviation of real estate leveraged ETFs. The Journal of Alternative Investments, 15(4), 48–73. Hongfei, T., & Xu, X. E. (2013). On the tracking performance and return deviation of real estate leveraged ETFs. The Journal of Alternative Investments, 15(4), 48–73.
Zurück zum Zitat Hsieh, M., et al. (2011). Evidence of herding and positive feedback trading for mutual funds in emerging Asian countries. Quantitative Finance, 11(3), 423–435. Hsieh, M., et al. (2011). Evidence of herding and positive feedback trading for mutual funds in emerging Asian countries. Quantitative Finance, 11(3), 423–435.
Zurück zum Zitat Hu, H., et al. (2018). Predicting the direction of stock markets using optimized neural networks with Google Trends. Neurocomputing, 285, 188–195. Hu, H., et al. (2018). Predicting the direction of stock markets using optimized neural networks with Google Trends. Neurocomputing, 285, 188–195.
Zurück zum Zitat Hurlin, C., Iseli, G., Pérignon, C., & Yeung, S. (2014). The counterparty risk exposure of ETF investors (Working paper). Hurlin, C., Iseli, G., Pérignon, C., & Yeung, S. (2014). The counterparty risk exposure of ETF investors (Working paper).
Zurück zum Zitat International Monetary Fund. (2015, April). The asset management industry and financial stability (Working paper). Washington, DC: IMF. International Monetary Fund. (2015, April). The asset management industry and financial stability (Working paper). Washington, DC: IMF.
Zurück zum Zitat Israeli, D., Lee, C., & Sridharan, S. A. (2016). Is there a dark side to exchange traded funds (ETFs)? An information perspective (Working paper). Stanford University. Israeli, D., Lee, C., & Sridharan, S. A. (2016). Is there a dark side to exchange traded funds (ETFs)? An information perspective (Working paper). Stanford University.
Zurück zum Zitat Jacob, R., Koschutzki, D., et al. (2013). Algorithms for centrality indices. In Network analysis (Lecture notes in computer science, Vol. 3418, pp. 62–82). Jacob, R., Koschutzki, D., et al. (2013). Algorithms for centrality indices. In Network analysis (Lecture notes in computer science, Vol. 3418, pp. 62–82).
Zurück zum Zitat Jiang, Z., Xie, W., Xiong, X., et al. (2013). Trading networks, abnormal motifs and stock manipulation. Quantitative Finance Letters, 1(1), 1–8. Jiang, Z., Xie, W., Xiong, X., et al. (2013). Trading networks, abnormal motifs and stock manipulation. Quantitative Finance Letters, 1(1), 1–8.
Zurück zum Zitat Jiang, L., Phillips, B., & Yu, J. (2015). New methodology for constructing real estate price indices applied to the Singapore residential market. Journal of Banking & Finance, 61, S121–S131. Jiang, L., Phillips, B., & Yu, J. (2015). New methodology for constructing real estate price indices applied to the Singapore residential market. Journal of Banking & Finance, 61, S121–S131.
Zurück zum Zitat Jouini, J. (2013). Stock markets in GCC countries and global factors: A further investigation. Economic Modelling, 31, 80–86. Jouini, J. (2013). Stock markets in GCC countries and global factors: A further investigation. Economic Modelling, 31, 80–86.
Zurück zum Zitat Kaiser, L., Fleisch, M., & Salcher, L. (2018). Bias and misrepresentation revisited: Perspective on major equity indices. Finance Research Letters, in press. Kaiser, L., Fleisch, M., & Salcher, L. (2018). Bias and misrepresentation revisited: Perspective on major equity indices. Finance Research Letters, in press.
Zurück zum Zitat Kearney, F., Cummins, M., & Murphy, F. (2014). Outperformance in exchange-traded fund pricing deviations: Generalized control of data snooping bias. Journal of Financial Markets, 19, 86–109. Kearney, F., Cummins, M., & Murphy, F. (2014). Outperformance in exchange-traded fund pricing deviations: Generalized control of data snooping bias. Journal of Financial Markets, 19, 86–109.
Zurück zum Zitat Kenett, D., et al. (2012). Dependency network and node influence: Application to the study of financial markets. International Journal of Bifurcation & Chaos, 22, 1250181. Kenett, D., et al. (2012). Dependency network and node influence: Application to the study of financial markets. International Journal of Bifurcation & Chaos, 22, 1250181.
Zurück zum Zitat Keylock, C. (2018). Gradual multifractal reconstruction of time-series: Formulation of the method and an application to the coupling between stock market indices and their Hölder exponents. Physica D: Nonlinear Phenomena, 368, 1–9. Keylock, C. (2018). Gradual multifractal reconstruction of time-series: Formulation of the method and an application to the coupling between stock market indices and their Hölder exponents. Physica D: Nonlinear Phenomena, 368, 1–9.
Zurück zum Zitat Khwaja, A., & Mian, A. (2005). Unchecked intermediaries: Price manipulation in an emerging stock market. Journal of Financial Economics, 78, 203–241. Khwaja, A., & Mian, A. (2005). Unchecked intermediaries: Price manipulation in an emerging stock market. Journal of Financial Economics, 78, 203–241.
Zurück zum Zitat Kleiner, K. (2015, June). Where Case-Shiller got it wrong: The effect of credit supply on price indices (Working paper). Indiana University. Kleiner, K. (2015, June). Where Case-Shiller got it wrong: The effect of credit supply on price indices (Working paper). Indiana University.
Zurück zum Zitat Kopp, M., Stauder, A., et al. (2008). Work stress and mental health in a changing society. European Journal of Public Health, 18(3), 238–244. Kopp, M., Stauder, A., et al. (2008). Work stress and mental health in a changing society. European Journal of Public Health, 18(3), 238–244.
Zurück zum Zitat Kosev, M., & Williams, T. (2011). Exchange-traded funds. Reserve Bank of Australia Bulletin, Reserve Bank of Australia. Kosev, M., & Williams, T. (2011). Exchange-traded funds. Reserve Bank of Australia Bulletin, Reserve Bank of Australia.
Zurück zum Zitat Kostovetsky, L. (2003). Index mutual funds and exchange-traded funds. Journal of Portfolio Management, 29(4), 80–92. Kostovetsky, L. (2003). Index mutual funds and exchange-traded funds. Journal of Portfolio Management, 29(4), 80–92.
Zurück zum Zitat Krause, T., Ehsani, S., & Lien, D. (2014). Exchange-traded funds, liquidity and volatility. Applied Financial Economics, 24(24), 1617–1630. Krause, T., Ehsani, S., & Lien, D. (2014). Exchange-traded funds, liquidity and volatility. Applied Financial Economics, 24(24), 1617–1630.
Zurück zum Zitat Kreiger, J., & Higgins, D. (2002). Housing and health: Time again for public health action. American Journal of Public Health, 92(5), 758–768. Kreiger, J., & Higgins, D. (2002). Housing and health: Time again for public health action. American Journal of Public Health, 92(5), 758–768.
Zurück zum Zitat Kristoufek, L. (2010). On spurious anti-persistence in the US stock indices. Chaos, Solitons & Fractals, 43(1–12), 68–78. Kristoufek, L. (2010). On spurious anti-persistence in the US stock indices. Chaos, Solitons & Fractals, 43(1–12), 68–78.
Zurück zum Zitat Kwon, O., & Yang, J. (2008). Information flow between stock indices. Europhysics Letters, 82(6), 68003. Kwon, O., & Yang, J. (2008). Information flow between stock indices. Europhysics Letters, 82(6), 68003.
Zurück zum Zitat Lahmiri, S. (2018). Minute-ahead stock price forecasting based on singular spectrum analysis and support vector regression. Applied Mathematics and Computation, 320, 444–451. Lahmiri, S. (2018). Minute-ahead stock price forecasting based on singular spectrum analysis and support vector regression. Applied Mathematics and Computation, 320, 444–451.
Zurück zum Zitat Lechman, E., & Marszk, A. (2015). ICT technologies and financial innovations: The case of exchange traded funds in Brazil, Japan, Mexico, South Korea and the United States. Technological Forecasting and Social Change, 99, 355–376. Lechman, E., & Marszk, A. (2015). ICT technologies and financial innovations: The case of exchange traded funds in Brazil, Japan, Mexico, South Korea and the United States. Technological Forecasting and Social Change, 99, 355–376.
Zurück zum Zitat Ledgerwood, S., & Carpenter, P. (2012). A framework for the analysis of market manipulation. Review of Law & Economics, 8(1), 253–295. Ledgerwood, S., & Carpenter, P. (2012). A framework for the analysis of market manipulation. Review of Law & Economics, 8(1), 253–295.
Zurück zum Zitat Lee, L., Liu, A., & Chen, W. (2006). Pattern discovery of fuzzy time-series for financial prediction. IEEE Transactions on Knowledge and Data Engineering, 18(5), 613–625. Lee, L., Liu, A., & Chen, W. (2006). Pattern discovery of fuzzy time-series for financial prediction. IEEE Transactions on Knowledge and Data Engineering, 18(5), 613–625.
Zurück zum Zitat Lee, E., Eom, K., & Park, K. (2013). Microstructure-based manipulation: Strategic behavior and performance of spoofing traders. Journal of Financial Markets, 16(2), 227–252. Lee, E., Eom, K., & Park, K. (2013). Microstructure-based manipulation: Strategic behavior and performance of spoofing traders. Journal of Financial Markets, 16(2), 227–252.
Zurück zum Zitat Lee, M., Song, J., et al. (2017). Asymmetric multi-fractality in the U.S. stock indices using index-based model of A-MFDFA. Chaos, Solitons & Fractals, 97, 28–38. Lee, M., Song, J., et al. (2017). Asymmetric multi-fractality in the U.S. stock indices using index-based model of A-MFDFA. Chaos, Solitons & Fractals, 97, 28–38.
Zurück zum Zitat Lemke, T., Lins, G., & Smith, T. (2016). Regulation of investment companies. Matthew Bender. ISBN 978-0-8205-2005-6. Lemke, T., Lins, G., & Smith, T. (2016). Regulation of investment companies. Matthew Bender. ISBN 978-0-8205-2005-6.
Zurück zum Zitat Levell, P. (2015). Is the Carli index flawed? Assessing the case for the new retail price index RPIJ. Journal of the Royal Statistical Society: Series A (Statistics in Society), 178, 303–336. Levell, P. (2015). Is the Carli index flawed? Assessing the case for the new retail price index RPIJ. Journal of the Royal Statistical Society: Series A (Statistics in Society), 178, 303–336.
Zurück zum Zitat Li, X., & Peng, L. (2017). US economic policy uncertainty and co-movements between Chinese and US stock markets. Economic Modelling, 61, 27–39. Li, X., & Peng, L. (2017). US economic policy uncertainty and co-movements between Chinese and US stock markets. Economic Modelling, 61, 27–39.
Zurück zum Zitat Li, X., Balcilar, M., Gupta, M., & Chang, T. (2016). The causal relationship between economic policy uncertainty and stock returns in China and India: Evidence from a bootstrap rolling-window approach. Emerging Markets Finance and Trade, 52(3), 674–689. Li, X., Balcilar, M., Gupta, M., & Chang, T. (2016). The causal relationship between economic policy uncertainty and stock returns in China and India: Evidence from a bootstrap rolling-window approach. Emerging Markets Finance and Trade, 52(3), 674–689.
Zurück zum Zitat Li, S., de Haan, J., & Scholtens, B. (2018). Surges of international fund flows. Journal of International Money and Finance, 82, 97–119. Li, S., de Haan, J., & Scholtens, B. (2018). Surges of international fund flows. Journal of International Money and Finance, 82, 97–119.
Zurück zum Zitat Lin, T. (2017). The new market manipulation. Emory Law Journal, 66, 1253–1263. Lin, T. (2017). The new market manipulation. Emory Law Journal, 66, 1253–1263.
Zurück zum Zitat Lin, C. C., & Chiang, M. H. (2005). Volatility effect of ETFs on the constituents of the underlying Taiwan 50 index. Applied Financial Economics, 15, 1315–1322. Lin, C. C., & Chiang, M. H. (2005). Volatility effect of ETFs on the constituents of the underlying Taiwan 50 index. Applied Financial Economics, 15, 1315–1322.
Zurück zum Zitat Lin, H., Zhang, Y., et al. (2013). Large daily stock variation is associated with cardiovascular mortality in two cities of Guangdong, China. PLoS One, 8(7), e68417. Lin, H., Zhang, Y., et al. (2013). Large daily stock variation is associated with cardiovascular mortality in two cities of Guangdong, China. PLoS One, 8(7), e68417.
Zurück zum Zitat Linnertova, D. (2015). Network structures of the US market with ETFs. Procedia Economics and Finance, 23, 899–904. Linnertova, D. (2015). Network structures of the US market with ETFs. Procedia Economics and Finance, 23, 899–904.
Zurück zum Zitat Lo, A. (2012). Adaptive markets and the new world order. Financial Analysts Journal, 68(2), 18–29. Lo, A. (2012). Adaptive markets and the new world order. Financial Analysts Journal, 68(2), 18–29.
Zurück zum Zitat Lo, A. (2016). What is an index? Journal of Portfolio Management, 42(2), 21–36. Lo, A. (2016). What is an index? Journal of Portfolio Management, 42(2), 21–36.
Zurück zum Zitat Lobão, J., & Pereira, C. (2017). Psychological barriers in stock market indices: Evidence from four southern European countries. Cuadernos de Economía, 40(114), 268–278. Lobão, J., & Pereira, C. (2017). Psychological barriers in stock market indices: Evidence from four southern European countries. Cuadernos de Economía, 40(114), 268–278.
Zurück zum Zitat Ma, W., Chen, H., Jiang, L., et al. (2011). Stock volatility as a risk factor for coronary heart disease death. European Heart Journal, 32(8), 1006–1011. Ma, W., Chen, H., Jiang, L., et al. (2011). Stock volatility as a risk factor for coronary heart disease death. European Heart Journal, 32(8), 1006–1011.
Zurück zum Zitat Machado, J., Duarte, F., & Duarte, G. (2011). Analysis of stock market indices through multidimensional scaling. Communications in Nonlinear Science and Numerical Simulation, 16(12), 4610–4618. Machado, J., Duarte, F., & Duarte, G. (2011). Analysis of stock market indices through multidimensional scaling. Communications in Nonlinear Science and Numerical Simulation, 16(12), 4610–4618.
Zurück zum Zitat Madhavan, A., Sobczyk, A., & Ang, A. (2018). What’s in your benchmark? A factor analysis of major market indexes. The Journal of Index Investing, 9(2), 66–79. Madhavan, A., Sobczyk, A., & Ang, A. (2018). What’s in your benchmark? A factor analysis of major market indexes. The Journal of Index Investing, 9(2), 66–79.
Zurück zum Zitat Malagrino, L., Roman, N., & Monteiro, A. (2018). Forecasting stock market index daily direction: A Bayesian network approach. Expert Systems with Applications, in press. Malagrino, L., Roman, N., & Monteiro, A. (2018). Forecasting stock market index daily direction: A Bayesian network approach. Expert Systems with Applications, in press.
Zurück zum Zitat March-Dallas, S., Daigler, R., et al. (2018). Exchange traded funds: Leverage and liquidity. Applied Economics, 50(37), 4054–4073. March-Dallas, S., Daigler, R., et al. (2018). Exchange traded funds: Leverage and liquidity. Applied Economics, 50(37), 4054–4073.
Zurück zum Zitat Marshall, B., Nguyen, N., & Visaltanachoti, N. (2013). ETF arbitrage: Intraday evidence. Journal of Banking & Finance, 37, 3486–3498. Marshall, B., Nguyen, N., & Visaltanachoti, N. (2013). ETF arbitrage: Intraday evidence. Journal of Banking & Finance, 37, 3486–3498.
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Metadaten
Titel
Introduction
verfasst von
Michael I. C. Nwogugu
Copyright-Jahr
2018
DOI
https://doi.org/10.1057/978-1-137-44701-2_1